Methods

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 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 Abstract then Play: A Skill-centric Reinforcement Learning Framework for Text-based Games ACL 2023 Accelerating Exploration with Unlabeled Prior Data NeurIPS 2023 Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration 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-Quantized Offline Reinforcement Learning for Robotic Skill Learning CoRL 2023 Active Coverage for PAC Reinforcement Learning COLT 2023 Active Policy Improvement from Multiple Black-box Oracles ICML 2023 Actor-Critic Alignment for Offline-to-Online Reinforcement Learning ICML 2023 AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning With Masked Autoencoders CVPR 2023 AdapSafe: Adaptive and Safe-Certified Deep Reinforcement Learning-Based Frequency Control for Carbon-Neutral Power Systems AAAI 2023 Adaptation Augmented Model-based Policy Optimization JMLR 2023 Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics ICML 2023 Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization for Heterogeneous Representational Coarseness AAAI 2023 Adaptive Estimation Q-learning with Uncertainty and Familiarity IJCAI 2023