Publications tagged "Reinforcement learning"
Conferences
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks
Litian Liang, Yaosheng Xu, Stephen McAleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, and Roy Fox
39th International Conference on Machine Learning (ICML), 2022
Learning to Query Internet Text for Informing Reinforcement Learning Agents
Kolby Nottingham, Alekhya Pyla, Sameer Singh, and Roy Fox
Reinforcement Learning and Decision Making (RLDM), 2022
Independent Natural Policy Gradient Always Converges in Markov Potential Games
Roy Fox, Stephen McAleer, William Overman, and Ioannis Panageas
25th International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
XDO: A Double Oracle Algorithm for Extensive-Form Games
Stephen McAleer, JB Lanier, Kevin Wang, Pierre Baldi, and Roy Fox
35th Conference on Neural Information Processing Systems (NeurIPS), 2021
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games
Stephen McAleer*, JB Lanier*, Roy Fox, and Pierre Baldi
34th Conference on Neural Information Processing Systems (NeurIPS), 2020
Workshops
Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments
JB Lanier, Stephen McAleer, Pierre Baldi, and Roy Fox
Deep Reinforcement Learning workshop (DRL @ NeurIPS), 2022
Anytime PSRO for Two-Player Zero-Sum Games
Stephen McAleer, Kevin Wang, JB Lanier, Marc Lanctot, Pierre Baldi, Tuomas Sandholm, and Roy Fox
Reinforcement Learning in Games workshop (RLG @ AAAI), 2022
Temporal-Difference Value Estimation via Uncertainty-Guided Soft Updates
Litian Liang, Yaosheng Xu, Stephen McAleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, and Roy Fox
Deep Reinforcement Learning workshop (DRL @ NeurIPS), 2021
Target Entropy Annealing for Discrete Soft Actor–Critic
Yaosheng Xu, Dailin Hu, Litian Liang, Stephen McAleer, Pieter Abbeel, and Roy Fox
Deep Reinforcement Learning workshop (DRL @ NeurIPS), 2021
Obtaining Approximately Admissible Heuristic Functions through Deep Reinforcement Learning and A* Search
Forest Agostinelli, Stephen McAleer, Alexander Shmakov, Roy Fox, Marco Valtorta, Biplav Srivastava, and Pierre Baldi
Bridging the Gap between AI Planning and Reinforcement Learning workshop (PRL @ ICAPS), 2021
CFR-DO: A Double Oracle Algorithm for Extensive-Form Games
Stephen McAleer, JB Lanier, Pierre Baldi, and Roy Fox
Reinforcement Learning in Games workshop (RLG @ AAAI), 2021
Preprints
A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks
Forest Agostinelli, Alexander Shmakov, Stephen McAleer, Roy Fox, and Pierre Baldi
arXiv:2102.04518, 2021