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ORCIDJoelle Pineau
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- affiliation: McGill University, Montreal, Canada
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2020 – today
- 2020
[j30]Iulian Vlad Serban, Chinnadhurai Sankar, Michael Pieper, Joelle Pineau, Yoshua Bengio:
The Bottleneck Simulator: A Model-Based Deep Reinforcement Learning Approach. J. Artif. Intell. Res. 69: 571-612 (2020)- [c131]Eric Crawford, Joelle Pineau:
Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking. AAAI 2020: 3684-3692 - [c130]Qizhen Zhang, Audrey Durand, Joelle Pineau:
Literature Mining for Incorporating Inductive Bias in Biomedical Prediction Tasks (Student Abstract). AAAI 2020: 13983-13984 - [c129]Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton, Joelle Pineau:
Learning an Unreferenced Metric for Online Dialogue Evaluation. ACL 2020: 2430-2441 - [c128]Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Varun Gupta, Iulian Vlad Serban, Joelle Pineau:
Automated Personalized Feedback Improves Learning Gains in An Intelligent Tutoring System. AIED (2) 2020: 140-146 - [c127]Iulian Vlad Serban, Varun Gupta, Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Joelle Pineau, Aaron C. Courville, Laurent Charlin, Yoshua Bengio:
A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM. AIED (2) 2020: 387-392 - [c126]Joelle Pineau:
Building reproducible, reusable, and robust machine learning software. DEBS 2020: 2 - [c125]Massimo Caccia, Lucas Caccia, William Fedus, Hugo Larochelle, Joelle Pineau, Laurent Charlin:
Language GANs Falling Short. ICLR 2020 - [c124]Ryan Lowe, Abhinav Gupta, Jakob N. Foerster, Douwe Kiela, Joelle Pineau:
On the interaction between supervision and self-play in emergent communication. ICLR 2020 - [c123]Emmanuel Bengio, Joelle Pineau, Doina Precup:
Interference and Generalization in Temporal Difference Learning. ICML 2020: 767-777 - [c122]Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Joelle Pineau:
Online Learned Continual Compression with Adaptive Quantization Modules. ICML 2020: 1240-1250 - [c121]Harsh Satija, Philip Amortila, Joelle Pineau:
Constrained Markov Decision Processes via Backward Value Functions. ICML 2020: 8502-8511 - [c120]Amy Zhang, Clare Lyle, Shagun Sodhani, Angelos Filos, Marta Kwiatkowska, Joelle Pineau, Yarin Gal, Doina Precup:
Invariant Causal Prediction for Block MDPs. ICML 2020: 11214-11224 - [c119]Maxime Wabartha, Audrey Durand, Vincent François-Lavet, Joelle Pineau:
Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks. IJCAI 2020: 2140-2147 - [c118]Vincent François-Lavet, Guillaume Rabusseau, Joelle Pineau, Damien Ernst, Raphael Fonteneau:
On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract). IJCAI 2020: 5055-5059 - [c117]Ge Yang, Amy Zhang, Ari S. Morcos, Joelle Pineau, Pieter Abbeel, Roberto Calandra:
Plan2Vec: Unsupervised Representation Learning by Latent Plans. L4DC 2020: 935-946 - [c116]Paul Barde, Julien Roy, Wonseok Jeon, Joelle Pineau, Chris Pal, Derek Nowrouzezahrai:
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization. NeurIPS 2020 - [c115]Ruo Yu Tao, Vincent François-Lavet, Joelle Pineau:
Novelty Search in Representational Space for Sample Efficient Exploration. NeurIPS 2020 - [c114]Ahmed Touati, Amy Zhang, Joelle Pineau, Pascal Vincent:
Stable Policy Optimization via Off-Policy Divergence Regularization. UAI 2020: 1328-1337 - [i95]Ryan Lowe, Abhinav Gupta
, Jakob N. Foerster, Douwe Kiela, Joelle Pineau:
On the interaction between supervision and self-play in emergent communication. CoRR abs/2002.01093 (2020) - [i94]Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup, Guillaume Rabusseau:
Provably efficient reconstruction of policy networks. CoRR abs/2002.02863 (2020) - [i93]Peter Henderson, Jieru Hu, Joshua Romoff, Emma Brunskill, Dan Jurafsky, Joelle Pineau:
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning. CoRR abs/2002.05651 (2020) - [i92]Wonseok Jeon, Paul Barde, Derek Nowrouzezahrai, Joelle Pineau:
Scalable Multi-Agent Inverse Reinforcement Learning via Actor-Attention-Critic. CoRR abs/2002.10525 (2020) - [i91]Ahmed Touati, Amy Zhang, Joelle Pineau, Pascal Vincent:
Stable Policy Optimization via Off-Policy Divergence Regularization. CoRR abs/2003.04108 (2020) - [i90]Amy Zhang, Clare Lyle, Shagun Sodhani, Angelos Filos, Marta Kwiatkowska, Joelle Pineau, Yarin Gal, Doina Precup:
Invariant Causal Prediction for Block MDPs. CoRR abs/2003.06016 (2020) - [i89]Emmanuel Bengio, Joelle Pineau, Doina Precup:
Interference and Generalization in Temporal Difference Learning. CoRR abs/2003.06350 (2020) - [i88]Koustuv Sinha, Shagun Sodhani, Joelle Pineau, William L. Hamilton:
Evaluating Logical Generalization in Graph Neural Networks. CoRR abs/2003.06560 (2020) - [i87]Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent Larivière, Alina Beygelzimer, Florence d'Alché-Buc, Emily B. Fox, Hugo Larochelle:
Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program). CoRR abs/2003.12206 (2020) - [i86]Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton, Joelle Pineau:
Learning an Unreferenced Metric for Online Dialogue Evaluation. CoRR abs/2005.00583 (2020) - [i85]Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Varun Gupta, Iulian Vlad Serban, Joelle Pineau:
Automated Personalized Feedback Improves Learning Gains in an Intelligent Tutoring System. CoRR abs/2005.02431 (2020) - [i84]Ge Yang, Amy Zhang, Ari S. Morcos, Joelle Pineau, Pieter Abbeel, Roberto Calandra:
Plan2Vec: Unsupervised Representation Learning by Latent Plans. CoRR abs/2005.03648 (2020) - [i83]Iulian Vlad Serban, Varun Gupta, Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Joelle Pineau, Aaron C. Courville, Laurent Charlin, Yoshua Bengio:
A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM. CoRR abs/2005.06616 (2020) - [i82]Paul Barde, Julien Roy, Wonseok Jeon, Joelle Pineau, Christopher J. Pal, Derek Nowrouzezahrai:
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization. CoRR abs/2006.13258 (2020) - [i81]Deepak Sharma, Audrey Durand, Marc-André Legault, Louis-Philippe Lemieux Perreault, Audrey Lemaçon, Marie-Pierre Dubé, Joelle Pineau:
Deep interpretability for GWAS. CoRR abs/2007.01516 (2020) - [i80]Joshua Romoff, Peter Henderson, David Kanaa, Emmanuel Bengio, Ahmed Touati, Pierre-Luc Bacon, Joelle Pineau:
TDprop: Does Jacobi Preconditioning Help Temporal Difference Learning? CoRR abs/2007.02786 (2020) - [i79]Amy Zhang, Shagun Sodhani, Khimya Khetarpal, Joelle Pineau:
Multi-Task Reinforcement Learning as a Hidden-Parameter Block MDP. CoRR abs/2007.07206 (2020) - [i78]Prasanna Parthasarathi, Joelle Pineau, Sarath Chandar:
How To Evaluate Your Dialogue System: Probe Tasks as an Alternative for Token-level Evaluation Metrics. CoRR abs/2008.10427 (2020) - [i77]Harsh Satija, Philip Amortila, Joelle Pineau:
Constrained Markov Decision Processes via Backward Value Functions. CoRR abs/2008.11811 (2020) - [i76]Ruo Yu Tao, Vincent François-Lavet, Joelle Pineau:
Novelty Search in representational space for sample efficient exploration. CoRR abs/2009.13579 (2020) - [i75]Wonseok Jeon, Chen-Yang Su, Paul Barde, Thang Doan, Derek Nowrouzezahrai, Joelle Pineau:
Regularized Inverse Reinforcement Learning. CoRR abs/2010.03691 (2020) - [i74]Kalesha Bullard, Franziska Meier, Douwe Kiela, Joelle Pineau, Jakob N. Foerster:
Exploring Zero-Shot Emergent Communication in Embodied Multi-Agent Populations. CoRR abs/2010.15896 (2020) - [i73]Melissa Mozifian, Amy Zhang, Joelle Pineau, David Meger:
Intervention Design for Effective Sim2Real Transfer. CoRR abs/2012.02055 (2020)
2010 – 2019
- 2019
- [j29]Vincent François-Lavet, Guillaume Rabusseau, Joelle Pineau, Damien Ernst, Raphael Fonteneau:
On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability. J. Artif. Intell. Res. 65: 1-30 (2019) - [c113]Eric Crawford, Joelle Pineau:
Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks. AAAI 2019: 3412-3420 - [c112]Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm:
On-Line Adaptative Curriculum Learning for GANs. AAAI 2019: 3470-3477 - [c111]Vincent François-Lavet, Yoshua Bengio, Doina Precup, Joelle Pineau:
Combined Reinforcement Learning via Abstract Representations. AAAI 2019: 3582-3589 - [c110]Boyu Wang, Hejia Zhang, Peng Liu, Zebang Shen, Joelle Pineau:
Multitask Metric Learning: Theory and Algorithm. AISTATS 2019: 3362-3371 - [c109]Ryan Lowe, Jakob N. Foerster, Y-Lan Boureau, Joelle Pineau, Yann N. Dauphin:
On the Pitfalls of Measuring Emergent Communication. AAMAS 2019: 693-701 - [c108]Bogdan Mazoure, Thang Doan, Audrey Durand, Joelle Pineau, R. Devon Hjelm:
Leveraging exploration in off-policy algorithms via normalizing flows. CoRL 2019: 430-444 - [c107]Abhinav Gupta, Ryan Lowe, Jakob N. Foerster, Douwe Kiela, Joelle Pineau:
Seeded self-play for language learning. LANTERN@EMNLP-IJCNLP 2019: 62-66 - [c106]Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton:
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text. EMNLP/IJCNLP (1) 2019: 4505-4514 - [c105]Abhishek Das, Théophile Gervet, Joshua Romoff, Dhruv Batra, Devi Parikh, Mike Rabbat, Joelle Pineau:
TarMAC: Targeted Multi-Agent Communication. ICML 2019: 1538-1546 - [c104]Joshua Romoff, Peter Henderson, Ahmed Touati, Yann Ollivier, Joelle Pineau, Emma Brunskill:
Separable value functions across time-scales. ICML 2019: 5468-5477 - [c103]Lucas Caccia, Herke van Hoof, Aaron C. Courville, Joelle Pineau:
Deep Generative Modeling of LiDAR Data. IROS 2019: 5034-5040 - [c102]Philip Paquette, Yuchen Lu, Steven Bocco, Max O. Smith, Satya Ortiz-Gagne, Jonathan K. Kummerfeld, Joelle Pineau, Satinder Singh, Aaron C. Courville:
No-Press Diplomacy: Modeling Multi-Agent Gameplay. NeurIPS 2019: 4476-4487 - [c101]Mahmoud Assran, Joshua Romoff, Nicolas Ballas, Joelle Pineau, Mike Rabbat:
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning. NeurIPS 2019: 13299-13309 - [c100]Ahmed Touati, Harsh Satija, Joshua Romoff, Joelle Pineau, Pascal Vincent:
Randomized Value Functions via Multiplicative Normalizing Flows. UAI 2019: 422-432 - [i72]Emily Dinan, Varvara Logacheva, Valentin Malykh, Alexander H. Miller, Kurt Shuster, Jack Urbanek, Douwe Kiela, Arthur Szlam, Iulian Serban, Ryan Lowe, Shrimai Prabhumoye, Alan W. Black, Alexander I. Rudnicky, Jason Williams, Joelle Pineau, Mikhail S. Burtsev, Jason Weston:
The Second Conversational Intelligence Challenge (ConvAI2). CoRR abs/1902.00098 (2019) - [i71]Joshua Romoff, Peter Henderson, Ahmed Touati, Yann Ollivier, Emma Brunskill, Joelle Pineau:
Separating value functions across time-scales. CoRR abs/1902.01883 (2019) - [i70]Ryan Lowe, Jakob N. Foerster, Y-Lan Boureau, Joelle Pineau, Yann N. Dauphin:
On the Pitfalls of Measuring Emergent Communication. CoRR abs/1903.05168 (2019) - [i69]Bogdan Mazoure, Thang Doan, Audrey Durand, R. Devon Hjelm, Joelle Pineau:
Leveraging exploration in off-policy algorithms via normalizing flows. CoRR abs/1905.06893 (2019) - [i68]Pierre Thodoroff, Nishanth Anand, Lucas Caccia, Doina Precup, Joelle Pineau:
Recurrent Value Functions. CoRR abs/1905.09562 (2019) - [i67]Mahmoud Assran, Joshua Romoff, Nicolas Ballas, Joelle Pineau, Mike Rabbat:
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning. CoRR abs/1906.04585 (2019) - [i66]Amy Zhang, Zachary C. Lipton, Luis Pineda, Kamyar Azizzadenesheli, Anima Anandkumar, Laurent Itti, Joelle Pineau, Tommaso Furlanello:
Learning Causal State Representations of Partially Observable Environments. CoRR abs/1906.10437 (2019) - [i65]Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton:
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text. CoRR abs/1908.06177 (2019) - [i64]Philip Paquette, Yuchen Lu, Steven Bocco, Max O. Smith, Satya Ortiz-Gagne, Jonathan K. Kummerfeld, Satinder Singh, Joelle Pineau, Aaron C. Courville:
No Press Diplomacy: Modeling Multi-Agent Gameplay. CoRR abs/1909.02128 (2019) - [i63]Thang Doan, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm:
Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning. CoRR abs/1909.07543 (2019) - [i62]Scott Fujimoto, Edoardo Conti, Mohammad Ghavamzadeh, Joelle Pineau:
Benchmarking Batch Deep Reinforcement Learning Algorithms. CoRR abs/1910.01708 (2019) - [i61]Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus:
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images. CoRR abs/1910.01741 (2019) - [i60]Viswanath Sivakumar, Tim Rocktäschel, Alexander H. Miller, Heinrich Küttler, Nantas Nardelli, Mike Rabbat, Joelle Pineau, Sebastian Riedel:
MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions. CoRR abs/1910.04054 (2019) - [i59]Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Joelle Pineau:
Online Learned Continual Compression with Stacked Quantization Module. CoRR abs/1911.08019 (2019) - [i58]Eric Crawford, Joelle Pineau:
Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking. CoRR abs/1911.09033 (2019) - 2018
- [j28]Iulian Vlad Serban, Ryan Lowe, Peter Henderson, Laurent Charlin, Joelle Pineau:
A Survey of Available Corpora For Building Data-Driven Dialogue Systems: The Journal Version. Dialogue Discourse 9(1): 1-49 (2018) - [j27]Vincent François-Lavet, Peter Henderson, Riashat Islam, Marc G. Bellemare, Joelle Pineau:
An Introduction to Deep Reinforcement Learning. Found. Trends Mach. Learn. 11(3-4): 219-354 (2018) - [j26]Mahmoud Ghorbel, Joelle Pineau, Richard Gourdeau, Shervin Javdani, Siddhartha S. Srinivasa:
A Decision-Theoretic Approach for the Collaborative Control of a Smart Wheelchair. Int. J. Soc. Robotics 10(1): 131-145 (2018) - [j25]Audrey Durand, Odalric-Ambrym Maillard, Joelle Pineau:
Streaming kernel regression with provably adaptive mean, variance, and regularization. J. Mach. Learn. Res. 19: 17:1-17:34 (2018) - [c99]Peter Henderson, Wei-Di Chang, Pierre-Luc Bacon, David Meger, Joelle Pineau, Doina Precup:
OptionGAN: Learning Joint Reward-Policy Options Using Generative Adversarial Inverse Reinforcement Learning. AAAI 2018: 3199-3206 - [c98]Peter Henderson, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, David Meger:
Deep Reinforcement Learning That Matters. AAAI 2018: 3207-3214 - [c97]Peter Henderson, Koustuv Sinha, Nicolas Angelard-Gontier, Nan Rosemary Ke, Genevieve Fried, Ryan Lowe, Joelle Pineau:
Ethical Challenges in Data-Driven Dialogue Systems. AIES 2018: 123-129 - [c96]Joshua Romoff, Peter Henderson, Alexandre Piché, Vincent François-Lavet, Joelle Pineau:
Reward Estimation for Variance Reduction in Deep Reinforcement Learning. CoRL 2018: 674-699 - [c95]Prasanna Parthasarathi, Joelle Pineau:
Extending Neural Generative Conversational Model using External Knowledge Sources. EMNLP 2018: 690-695 - [c94]Joshua Romoff, Alexandre Piché, Peter Henderson, Vincent François-Lavet, Joelle Pineau:
Reward Estimation for Variance Reduction in Deep Reinforcement Learning. ICLR (Workshop) 2018 - [c93]Amy Zhang, Harsh Satija, Joelle Pineau:
Decoupling Dynamics and Reward for Transfer Learning. ICLR (Workshop) 2018 - [c92]Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Christopher J. Pal:
Focused Hierarchical RNNs for Conditional Sequence Processing. ICML 2018: 2559-2568 - [c91]Matthew Smith, Herke van Hoof, Joelle Pineau:
An Inference-Based Policy Gradient Method for Learning Options. ICML 2018: 4710-4719 - [c90]Audrey Durand, Charis Achilleos, Demetris Iacovides, Katerina Strati, Georgios D. Mitsis, Joelle Pineau:
Contextual Bandits for Adapting Treatment in a Mouse Model of de Novo Carcinogenesis. MLHC 2018: 67-82 - [c89]Pierre Thodoroff, Audrey Durand, Joelle Pineau, Doina Precup:
Temporal Regularization for Markov Decision Process. NeurIPS 2018: 1784-1794 - [i57]Iulian Vlad Serban, Chinnadhurai Sankar, Mathieu Germain, Saizheng Zhang, Zhouhan Lin, Sandeep Subramanian, Taesup Kim, Michael Pieper, Sarath Chandar, Nan Rosemary Ke, Sai Rajeswar, Alexandre de Brébisson, Jose M. R. Sotelo, Dendi Suhubdy, Vincent Michalski, Alexandre Nguyen, Joelle Pineau, Yoshua Bengio:
A Deep Reinforcement Learning Chatbot (Short Version). CoRR abs/1801.06700 (2018) - [i56]Valentin Thomas, Emmanuel Bengio, William Fedus, Jules Pondard, Philippe Beaudoin, Hugo Larochelle, Joelle Pineau, Doina Precup, Yoshua Bengio:
Disentangling the independently controllable factors of variation by interacting with the world. CoRR abs/1802.09484 (2018) - [i55]Amy Zhang, Harsh Satija, Joelle Pineau:
Decoupling Dynamics and Reward for Transfer Learning. CoRR abs/1804.10689 (2018) - [i54]Joshua Romoff, Alexandre Piché, Peter Henderson, Vincent François-Lavet, Joelle Pineau:
Reward Estimation for Variance Reduction in Deep Reinforcement Learning. CoRR abs/1805.03359 (2018) - [i53]Ahmed Touati, Harsh Satija, Joshua Romoff, Joelle Pineau, Pascal Vincent:
Randomized Value Functions via Multiplicative Normalizing Flows. CoRR abs/1806.02315 (2018) - [i52]Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Chris Pal:
Focused Hierarchical RNNs for Conditional Sequence Processing. CoRR abs/1806.04342 (2018) - [i51]Amy Zhang, Nicolas Ballas, Joelle Pineau:
A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning. CoRR abs/1806.07937 (2018) - [i50]Iulian Vlad Serban, Chinnadhurai Sankar, Michael Pieper, Joelle Pineau, Yoshua Bengio:
The Bottleneck Simulator: A Model-based Deep Reinforcement Learning Approach. CoRR abs/1807.04723 (2018) - [i49]Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm:
Online Adaptative Curriculum Learning for GANs. CoRR abs/1808.00020 (2018) - [i48]Vincent François-Lavet, Yoshua Bengio, Doina Precup, Joelle Pineau:
Combined Reinforcement Learning via Abstract Representations. CoRR abs/1809.04506 (2018) - [i47]Eric Crawford, Guillaume Rabusseau, Joelle Pineau:
Sequential Coordination of Deep Models for Learning Visual Arithmetic. CoRR abs/1809.04988 (2018) - [i46]Prasanna Parthasarathi, Joelle Pineau:
Extending Neural Generative Conversational Model using External Knowledge Sources. CoRR abs/1809.05524 (2018) - [i45]Peter Henderson, Joshua Romoff, Joelle Pineau:
Where Did My Optimum Go?: An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods. CoRR abs/1810.02525 (2018) - [i44]Abhishek Das, Théophile Gervet, Joshua Romoff, Dhruv Batra, Devi Parikh, Michael G. Rabbat, Joelle Pineau:
TarMAC: Targeted Multi-Agent Communication. CoRR abs/1810.11187 (2018) - [i43]Pierre Thodoroff, Audrey Durand, Joelle Pineau, Doina Precup:
Temporal Regularization in Markov Decision Process. CoRR abs/1811.00429 (2018) - [i42]Peter Henderson, Koustuv Sinha, Nan Rosemary Ke, Joelle Pineau:
Adversarial Gain. CoRR abs/1811.01302 (2018) - [i41]Massimo Caccia, Lucas Caccia, William Fedus, Hugo Larochelle, Joelle Pineau, Laurent Charlin:
Language GANs Falling Short. CoRR abs/1811.02549 (2018) - [i40]Nicolas Gontier, Koustuv Sinha, Peter Henderson, Iulian Serban, Michael Noseworthy, Prasanna Parthasarathi, Joelle Pineau:
The RLLChatbot: a solution to the ConvAI challenge. CoRR abs/1811.02714 (2018) - [i39]Koustuv Sinha, Shagun Sodhani, William L. Hamilton, Joelle Pineau:
Compositional Language Understanding with Text-based Relational Reasoning. CoRR abs/1811.02959 (2018) - [i38]Amy Zhang, Yuxin Wu, Joelle Pineau:
Natural Environment Benchmarks for Reinforcement Learning. CoRR abs/1811.06032 (2018) - [i37]Vincent François-Lavet, Peter Henderson, Riashat Islam, Marc G. Bellemare, Joelle Pineau:
An Introduction to Deep Reinforcement Learning. CoRR abs/1811.12560 (2018) - [i36]Lucas Caccia, Herke van Hoof, Aaron C. Courville, Joelle Pineau:
Deep Generative Modeling of LiDAR Data. CoRR abs/1812.01180 (2018) - 2017
- [j24]Ryan Thomas Lowe, Nissan Pow, Iulian Vlad Serban, Laurent Charlin, Chia-Wei Liu, Joelle Pineau:
Training End-to-End Dialogue Systems with the Ubuntu Dialogue Corpus. Dialogue Discourse 8(1): 31-65 (2017) - [j23]Ali Emami, Joseph El Youssef, Remi Rabasa-Lhoret, Joelle Pineau, Jessica R. Castle, Ahmad Haidar:
Modeling Glucagon Action in Patients With Type 1 Diabetes. IEEE J. Biomed. Health Informatics 21(4): 1163-1171 (2017) - [c88]Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, Laurent Charlin, Joelle Pineau, Aaron C. Courville, Yoshua Bengio:
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues. AAAI 2017: 3295-3301 - [c87]Ryan Lowe, Michael Noseworthy, Iulian Vlad Serban, Nicolas Angelard-Gontier, Yoshua Bengio, Joelle Pineau:
Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses. ACL (1) 2017: 1116-1126 - [c86]Matthew Smith, Laurent Charlin, Joelle Pineau:
A Sparse Probabilistic Model of User Preference Data. Canadian Conference on AI 2017: 316-328 - [c85]Iulian Vlad Serban, Alexander Ororbia, Joelle Pineau, Aaron C. Courville:
Piecewise Latent Variables for Neural Variational Text Processing. SPNLP@EMNLP 2017: 52-62 - [c84]Iulian Vlad Serban, Alexander G. Ororbia II, Joelle Pineau, Aaron C. Courville:
Piecewise Latent Variables for Neural Variational Text Processing. EMNLP 2017: 422-432 - [c83]Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, Anirudh Goyal, Ryan Lowe, Joelle Pineau, Aaron C. Courville, Yoshua Bengio:
An Actor-Critic Algorithm for Sequence Prediction. ICLR (Poster) 2017 - [c82]Ryan Lowe, Michael Noseworthy, Iulian Vlad Serban, Nicolas Angelard-Gontier, Yoshua Bengio, Joelle Pineau:
Towards an automatic Turing test: Learning to evaluate dialogue responses. ICLR (Workshop) 2017 - [c81]Guillaume Rabusseau, Borja Balle, Joelle Pineau:
Multitask Spectral Learning of Weighted Automata. NIPS 2017: 2588-2597 - [c80]Hoai Phuoc Truong, Prasanna Parthasarathi, Joelle Pineau:
MACA: A Modular Architecture for Conversational Agents. SIGDIAL Conference 2017: 93-102 - [c79]Michael Noseworthy, Jackie Chi Kit Cheung, Joelle Pineau:
Predicting Success in Goal-Driven Human-Human Dialogues. SIGDIAL Conference 2017: 253-262 - [i35]Emmanuel Bengio, Valentin Thomas, Joelle Pineau, Doina Precup, Yoshua Bengio:
Independently Controllable Features. CoRR abs/1703.07718 (2017) - [i34]Audrey Durand, Odalric-Ambrym Maillard, Joelle Pineau:
Streaming kernel regression with provably adaptive mean, variance, and regularization. CoRR abs/1708.00768 (2017) - [i33]Valentin Thomas, Jules Pondard, Emmanuel Bengio, Marc Sarfati, Philippe Beaudoin, Marie-Jean Meurs, Joelle Pineau, Doina Precup, Yoshua Bengio:
Independently Controllable Factors. CoRR abs/1708.01289 (2017) - [i32]