Reinforcement Learning

X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner IJCAI 2024 Zero-Shot Reinforcement Learning from Low Quality Data NeurIPS 2024 Zero-Sum Positional Differential Games as a Framework for Robust Reinforcement Learning: Deep Q-Learning Approach ICML 2024 ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination NeurIPS 2024 π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control AAAI 2024 TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning NeurIPS 2023 3D-Aware Object Goal Navigation via Simultaneous Exploration and Identification CVPR 2023 A Bayesian Approach to Robust Inverse Reinforcement Learning CoRL 2023 Abstracting Imperfect Information Away from Two-Player Zero-Sum Games ICML 2023 Abstract then Play: A Skill-centric Reinforcement Learning Framework for Text-based Games ACL 2023 Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization ICML 2023 Accelerating Exploration with Unlabeled Prior Data NeurIPS 2023 Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration NeurIPS 2023 Accelerating Value Iteration with Anchoring NeurIPS 2023 Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples NeurIPS 2023 ACE: Cooperative Multi-Agent Q-learning with Bidirectional Action-Dependency AAAI 2023 Achieving Sub-linear Regret in Infinite Horizon Average Reward Constrained MDP with Linear Function Approximation ICLR 2023 Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm AAAI 2023 A CMDP-within-online framework for Meta-Safe Reinforcement Learning ICLR 2023 A Complete Characterization of Linear Estimators for Offline Policy Evaluation JMLR 2023 A Connection between One-Step RL and Critic Regularization in Reinforcement Learning ICML 2023 Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models NeurIPS 2023 Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning CoRL 2023 Action Space Reduction for Planning Domains IJCAI 2023 Active Coverage for PAC Reinforcement Learning COLT 2023