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Publication search results
found 140 matches
- 2024
- Wentao Tang:
Data-driven bifurcation analysis via learning of homeomorphism. L4DC 2024: 1149-1160 - Weiyao Wang, Xinyuan Fang, Gregory D. Hager:
Adapting Image-based RL Policies via Predicted Rewards. L4DC 2024: 324-336 - Rui Yan, Gabriel Santos, Gethin Norman, David Parker, Marta Kwiatkowska:
HSVI-based online minimax strategies for partially observable stochastic games with neural perception mechanisms. L4DC 2024: 80-91 - Weiqin Chen, Santiago Paternain:
Generalized constraint for probabilistic safe reinforcement learning. L4DC 2024: 1606-1618 - Leopoldo Agorio, Sean Van Alen, Miguel Calvo-Fullana, Santiago Paternain, Juan Andrés Bazerque:
Multi-agent assignment via state augmented reinforcement learning. L4DC 2024: 1202-1213 - Miguel Aguiar, Amritam Das, Karl Henrik Johansson:
Learning flow functions of spiking systems. L4DC 2024: 591-602 - Abdullah Akgül, Gozde Unal, Melih Kandemir:
Continual learning of multi-modal dynamics with external memory. L4DC 2024: 40-51 - Elisa Alboni, Gianluigi Grandesso, Gastone Pietro Rosati Papini, Justin Carpentier, Andrea Del Prete:
CACTO-SL: Using Sobolev learning to improve continuous actor-critic with trajectory optimization. L4DC 2024: 1452-1463 - Christine Allen-Blanchette:
Hamiltonian GAN. L4DC 2024: 1662-1674 - Shayan Meshkat Alsadat, Nasim Baharisangari, Zhe Xu:
Distributed on-the-fly control of multi-agent systems with unknown dynamics: Using limited data to obtain near-optimal control. L4DC 2024: 1440-1451 - Mohammad Alsalti, Victor G. Lopez, Matthias Albrecht Müller:
An efficient data-based off-policy Q-learning algorithm for optimal output feedback control of linear systems. L4DC 2024: 312-323 - Daniel Felipe Ordoñez Apraez, Vladimir Kostic, Giulio Turrisi, Pietro Novelli, Carlos Mastalli, Claudio Semini, Massimiliano Pontil:
Dynamics harmonic analysis of robotic systems: Application in data-driven Koopman modelling. L4DC 2024: 1318-1329 - Yatong Bai, Brendon G. Anderson, Somayeh Sojoudi:
Mixing classifiers to alleviate the accuracy-robustness trade-off. L4DC 2024: 852-865 - Yitao Bai, Thinh T. Doan:
Finite-time complexity of incremental policy gradient methods for solving multi-task reinforcement learning. L4DC 2024: 1046-1057 - Mohammad Bajelani, Klaske van Heusden:
From raw data to safety: Reducing conservatism by set expansion. L4DC 2024: 1305-1317 - Brett Barkley, Amy Zhang, David Fridovich-Keil:
An investigation of time reversal symmetry in reinforcement learning. L4DC 2024: 68-79 - Luke Bhan, Yuexin Bian, Miroslav Krstic, Yuanyuan Shi:
PDE control gym: A benchmark for data-driven boundary control of partial differential equations. L4DC 2024: 1083-1095 - Mohak Bhardwaj, Thomas Lampe, Michael Neunert, Francesco Romano, Abbas Abdolmaleki, Arunkumar Byravan, Markus Wulfmeier, Martin A. Riedmiller, Jonas Buchli:
Real-world fluid directed rigid body control via deep reinforcement learning. L4DC 2024: 414-427 - Jayanth Bhargav, Mahsa Ghasemi, Shreyas Sundaram:
Submodular information selection for hypothesis testing with misclassification penalties. L4DC 2024: 566-577 - Rémy Hosseinkhan Boucher, Stella Douka, Onofrio Semeraro, Lionel Mathelin:
Increasing information for model predictive control with semi-Markov decision processes. L4DC 2024: 1400-1414 - Sara Maria Brancato, Davide Salzano, Francesco De Lellis, Davide Fiore, Giovanni Russo, Mario di Bernardo:
In vivo learning-based control of microbial populations density in bioreactors. L4DC 2024: 941-953 - Noel Brindise, Andres Felipe Posada-Moreno, Cedric Langbort, Sebastian Trimpe:
Pointwise-in-time diagnostics for reinforcement learning during training and runtime. L4DC 2024: 694-706 - Riccardo Brumali, Guido Carnevale, Giuseppe Notarstefano:
A deep learning approach for distributed aggregative optimization with users' feedback. L4DC 2024: 1552-1564 - Paul Brunzema, Paul Kruse, Sebastian Trimpe:
Neural processes with event triggers for fast adaptation to changes. L4DC 2024: 1619-1632 - Johannes Buerger, Mark Cannon, Martin Doff-Sotta:
Safe learning in nonlinear model predictive control. L4DC 2024: 603-614 - Luigi Campanaro, Siddhant Gangapurwala, Wolfgang Merkt, Ioannis Havoutis:
Learning and deploying robust locomotion policies with minimal dynamics randomization. L4DC 2024: 578-590 - Nicolas Chatzikiriakos, Kim Peter Wabersich, Felix Berkel, Patricia Pauli, Andrea Iannelli:
Learning soft constrained MPC value functions: Efficient MPC design and implementation providing stability and safety guarantees. L4DC 2024: 387-398 - Kong Yao Chee, Thales C. Silva, M. Ani Hsieh, George J. Pappas:
Uncertainty quantification and robustification of model-based controllers using conformal prediction. L4DC 2024: 528-540 - Paula X. Chen, Tingwei Meng, Zongren Zou, Jérôme Darbon, George Em Karniadakis:
Leveraging Hamilton-Jacobi PDEs with time-dependent Hamiltonians for continual scientific machine learning. L4DC 2024: 1-12 - Emma Clark, Kanghyun Ryu, Negar Mehr:
Adaptive teaching in heterogeneous agents: Balancing surprise in sparse reward scenarios. L4DC 2024: 1489-1501
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