• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 301 matches

• 2023
• 
  Qi Zhang, Edmund H. Durfee, Satinder Singh:
  Risk-aware analysis for interpretations of probabilistic achievement and maintenance commitments. Artif. Intell. 317: 103864 (2023)
• 
  Sebastian Flennerhag, Tom Zahavy, Brendan O'Donoghue, Hado van Hasselt, András György, Satinder Singh:
  Optimistic Meta-Gradients. CoRR abs/2301.03236 (2023)
• 
  Wilka Carvalho, Angelos Filos, Richard L. Lewis, Honglak Lee, Satinder Singh:
  Composing Task Knowledge with Modular Successor Feature Approximators. CoRR abs/2301.12305 (2023)
• 
  Ted Moskovitz, Brendan O'Donoghue, Vivek Veeriah, Sebastian Flennerhag, Satinder Singh, Tom Zahavy:
  ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs. CoRR abs/2302.01275 (2023)
• 
  Bernardo Ávila Pires, Feryal M. P. Behbahani, Hubert Soyer, Kyriacos Nikiforou, Thomas Keck, Satinder Singh:
  Hierarchical Reinforcement Learning in Complex 3D Environments. CoRR abs/2302.14451 (2023)
• 
  Chris Lu, Yannick Schroecker, Albert Gu, Emilio Parisotto, Jakob N. Foerster, Satinder Singh, Feryal M. P. Behbahani:
  Structured State Space Models for In-Context Reinforcement Learning. CoRR abs/2303.03982 (2023)
• 2022
• 
  Imran Ashraf, Yousaf Bin Zikria, Sahil Garg, Yongwan Park, Georges Kaddoum, Satinder Singh:
  Zero Touch Networks to Realize Virtualization: Opportunities, Challenges, and Future Prospects. IEEE Netw. 36(6): 251-259 (2022)
• 
  Zeyu Zheng, Risto Vuorio, Richard L. Lewis, Satinder Singh:
  Adaptive Pairwise Weights for Temporal Credit Assignment. AAAI 2022: 9225-9232
• 
  Jelena Luketina, Sebastian Flennerhag, Yannick Schroecker, David Abel, Tom Zahavy, Satinder Singh:
  Meta-Gradients in Non-Stationary Environments. CoLLAs 2022: 886-901
• 
  Sebastian Flennerhag, Yannick Schroecker, Tom Zahavy, Hado van Hasselt, David Silver, Satinder Singh:
  Bootstrapped Meta-Learning. ICLR 2022
• 
  David Abel, Will Dabney, Anna Harutyunyan, Mark K. Ho, Michael L. Littman, Doina Precup, Satinder Singh:
  On the Expressivity of Markov Reward (Extended Abstract). IJCAI 2022: 5254-5258
• 
  Vivek Veeriah, Zeyu Zheng, Richard L. Lewis, Satinder Singh:
  GrASP: Gradient-Based Affordance Selection for Planning. CoRR abs/2202.04772 (2022)
• 
  Tom Zahavy, Yannick Schroecker, Feryal M. P. Behbahani, Kate Baumli, Sebastian Flennerhag, Shaobo Hou, Satinder Singh:
  Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality. CoRR abs/2205.13521 (2022)
• 
  Julien Pérolat, Bart De Vylder, Daniel Hennes, Eugene Tarassov, Florian Strub, Vincent de Boer, Paul Muller, Jerome T. Connor, Neil Burch, Thomas W. Anthony, Stephen McAleer, Romuald Elie, Sarah H. Cen, Zhe Wang, Audrunas Gruslys, Aleksandra Malysheva, Mina Khan, Sherjil Ozair, Finbarr Timbers, Toby Pohlen, Tom Eccles, Mark Rowland, Marc Lanctot, Jean-Baptiste Lespiau, Bilal Piot, Shayegan Omidshafiei, Edward Lockhart, Laurent Sifre, Nathalie Beauguerlange, Rémi Munos, David Silver, Satinder Singh, Demis Hassabis, Karl Tuyls:
  Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning. CoRR abs/2206.15378 (2022)
• 
  Jelena Luketina, Sebastian Flennerhag, Yannick Schroecker, David Abel, Tom Zahavy, Satinder Singh:
  Meta-Gradients in Non-Stationary Environments. CoRR abs/2209.06159 (2022)
• 
  Ethan A. Brooks, Logan Walls, Richard L. Lewis, Satinder Singh:
  In-Context Policy Iteration. CoRR abs/2210.03821 (2022)
• 
  Hao Liu, Tom Zahavy, Volodymyr Mnih, Satinder Singh:
  Palm up: Playing in the Latent Manifold for Unsupervised Pretraining. CoRR abs/2210.10913 (2022)
• 
  Michael Laskin, Luyu Wang, Junhyuk Oh, Emilio Parisotto, Stephen Spencer, Richie Steigerwald, DJ Strouse, Steven Hansen, Angelos Filos, Ethan A. Brooks, Maxime Gazeau, Himanshu Sahni, Satinder Singh, Volodymyr Mnih:
  In-context Reinforcement Learning with Algorithm Distillation. CoRR abs/2210.14215 (2022)
• 
  Robert Tjarko Lange, Tom Schaul, Yutian Chen, Tom Zahavy, Valentin Dallibard, Chris Lu, Satinder Singh, Sebastian Flennerhag:
  Discovering Evolution Strategies via Meta-Black-Box Optimization. CoRR abs/2211.11260 (2022)
• 
  Khimya Khetarpal, Claire Vernade, Brendan O'Donoghue, Satinder Singh, Tom Zahavy:
  POMRL: No-Regret Learning-to-Plan with Increasing Horizons. CoRR abs/2212.14530 (2022)
• 2021
• 
  David Silver, Satinder Singh, Doina Precup, Richard S. Sutton:
  Reward is enough. Artif. Intell. 299: 103535 (2021)
• 
  Qi Zhang, Edmund H. Durfee, Satinder Singh:
  Efficient Querying for Cooperative Probabilistic Commitments. AAAI 2021: 11378-11386
• 
  Udayan Banerjee, Sandeep Kumar, Subir Kumar Saha, Indra Narayan Kar, Satinder Paul Singh:
  Tracking Control of a Single Link Flexible Manipulator. AIR 2021: 13:1-13:6
• 
  Tom Zahavy, André Barreto, Daniel J. Mankowitz, Shaobo Hou, Brendan O'Donoghue, Iurii Kemaev, Satinder Singh:
  Discovering a set of policies for the worst case reward. ICLR 2021
• 
  Ethan A. Brooks, Janarthanan Rajendran, Richard L. Lewis, Satinder Singh:
  Reinforcement Learning of Implicit and Explicit Control Flow Instructions. ICML 2021: 1082-1091
• 
  Wilka Carvalho, Anthony Liang, Kimin Lee, Sungryull Sohn, Honglak Lee, Richard L. Lewis, Satinder Singh:
  Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment. IJCAI 2021: 2219-2226
• 
  David Abel, Will Dabney, Anna Harutyunyan, Mark K. Ho, Michael L. Littman, Doina Precup, Satinder Singh:
  On the Expressivity of Markov Reward. NeurIPS 2021: 7799-7812
• 
  Christopher Grimm, André Barreto, Gregory Farquhar, David Silver, Satinder Singh:
  Proper Value Equivalence. NeurIPS 2021: 7773-7786
• 
  Vivek Veeriah, Tom Zahavy, Matteo Hessel, Zhongwen Xu, Junhyuk Oh, Iurii Kemaev, Hado van Hasselt, David Silver, Satinder Singh:
  Discovery of Options via Meta-Learned Subgoals. NeurIPS 2021: 29861-29873
• 
  Tom Zahavy, Brendan O'Donoghue, Guillaume Desjardins, Satinder Singh:
  Reward is enough for convex MDPs. NeurIPS 2021: 25746-25759

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