Reinforcement Learning

A Risk-Sensitive Approach to Policy Optimization AAAI 2023 A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories NeurIPS 2023 Asymptotic Instance-Optimal Algorithms for Interactive Decision Making ICLR 2023 Augmented Proximal Policy Optimization for Safe Reinforcement Learning AAAI 2023 A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games ICLR 2023 AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning AAAI 2023 Backstepping Temporal Difference Learning ICLR 2023 BC-IRL: Learning Generalizable Reward Functions from Demonstrations ICLR 2023 BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks NeurIPS 2023 Belief Projection-Based Reinforcement Learning for Environments with Delayed Feedback NeurIPS 2023 Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes AAAI 2023 BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning NeurIPS 2023 Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks ICLR 2023 Building a Subspace of Policies for Scalable Continual Learning ICLR 2023 Building Persona Consistent Dialogue Agents with Offline Reinforcement Learning EMNLP 2023 Causal Confusion and Reward Misidentification in Preference-Based Reward Learning ICLR 2023 Causal Imitation Learning via Inverse Reinforcement Learning ICLR 2023 Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication ICLR 2023 CFlowNets: Continuous Control with Generative Flow Networks ICLR 2023 Choreographer: Learning and Adapting Skills in Imagination ICLR 2023 CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning ICLR 2023 ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations ACL 2023 Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees NeurIPS 2023 Conceptual Reinforcement Learning for Language-Conditioned Tasks AAAI 2023 Constrained Decision Transformer for Offline Safe Reinforcement Learning ICML 2023