Reinforcement Learning

Offline Reinforcement Learning from Human Feedback in Real-World Sequence-to-Sequence Tasks ACL 2021 Offline Reinforcement Learning from Images with Latent Space Models L4DC 2021 Offline Reinforcement Learning with Fisher Divergence Critic Regularization ICML 2021 Offline Reinforcement Learning with Pseudometric Learning ICML 2021 Offline Reinforcement Learning with Reverse Model-based Imagination NeurIPS 2021 Offline RL Without Off-Policy Evaluation NeurIPS 2021 Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble CoRL 2021 Off-Policy Confidence Sequences ICML 2021 Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders AISTATS 2021 Off-Policy Risk Assessment in Contextual Bandits NeurIPS 2021 Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap ICML 2021 On Blame Attribution for Accountable Multi-Agent Sequential Decision Making NeurIPS 2021 On Convergence of Gradient Expected Sarsa(λ) AAAI 2021 On Effective Scheduling of Model-based Reinforcement Learning NeurIPS 2021 One Protocol to Rule Them All: Wireless Network-on-Chip using Deep Reinforcement Learning NSDI 2021 Online 3D Bin Packing with Constrained Deep Reinforcement Learning AAAI 2021 Online and Offline Reinforcement Learning by Planning with a Learned Model NeurIPS 2021 Online learning in MDPs with linear function approximation and bandit feedback. NeurIPS 2021 Online Learning in Unknown Markov Games ICML 2021 Online Markov Decision Processes with Aggregate Bandit Feedback COLT 2021 Online Model Selection for Reinforcement Learning with Function Approximation AISTATS 2021 Online Optimal Control with Affine Constraints AAAI 2021 Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with $\sqrt$T Regret ICML 2021 Online Robust Reinforcement Learning with Model Uncertainty NeurIPS 2021 Online Selection of Diverse Committees IJCAI 2021