Policy Learning

Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning ICML 2023 Transferable Curricula through Difficulty Conditioned Generators IJCAI 2023 TRAVEL: Tag-Aware Conversational FAQ Retrieval via Reinforcement Learning EMNLP 2023 trlX: A Framework for Large Scale Open Source RLHF EMNLP 2023 Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach NeurIPS 2023 Understanding the Complexity Gains of Single-Task RL with a Curriculum ICML 2023 User-Oriented Robust Reinforcement Learning AAAI 2023 VA-learning as a more efficient alternative to Q-learning ICML 2023 Variance-Reduced Conservative Policy Iteration ALT 2023 Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills ICML 2023 Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap ICML 2023 Warm-Starting Nested Rollout Policy Adaptation with Optimal Stopping AAAI 2023 Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control AAAI 2023 Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets NeurIPS 2023 Weighted Policy Constraints for Offline Reinforcement Learning AAAI 2023 Why Target Networks Stabilise Temporal Difference Methods ICML 2023 Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis NeurIPS 2023 Zero-Shot Linear Combinations of Grounded Social Interactions with Linear Social MDPs AAAI 2023 Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach AAAI 2022 Action-Sufficient State Representation Learning for Control with Structural Constraints ICML 2022 Active Exploration for Inverse Reinforcement Learning NeurIPS 2022 Actor-Critic based Improper Reinforcement Learning ICML 2022 Actor-critic is implicitly biased towards high entropy optimal policies ICLR 2022 Adaptive Multi-Goal Exploration AISTATS 2022 Adaptive Pairwise Weights for Temporal Credit Assignment AAAI 2022