Methods

VOQL: Towards Optimal Regret in Model-free RL with Nonlinear Function Approximation COLT 2023 VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning NeurIPS 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 Wasserstein Auto-encoded MDPs: Formal Verification of Efficiently Distilled RL Policies with Many-sided Guarantees ICLR 2023 Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets NeurIPS 2023 Weakly Coupled Deep Q-Networks NeurIPS 2023 Weighted Policy Constraints for Offline Reinforcement Learning AAAI 2023 Weighted Sampling without Replacement for Deep Top-k Classification ICML 2023 What can online reinforcement learning with function approximation benefit from general coverage conditions? ICML 2023 What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL? ICML 2023 When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning ICLR 2023 When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment NeurIPS 2023 When is Agnostic Reinforcement Learning Statistically Tractable? NeurIPS 2023 When is Realizability Sufficient for Off-Policy Reinforcement Learning? ICML 2023 Who Needs to Know? Minimal Knowledge for Optimal Coordination ICML 2023 Why Target Networks Stabilise Temporal Difference Methods ICML 2023 Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary Search under Trajectory-Based Guidance AAAI 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 A Boosting Approach to Reinforcement Learning NeurIPS 2022 Abstraction for Deep Reinforcement Learning IJCAI 2022 Accelerated Policy Learning with Parallel Differentiable Simulation ICLR 2022 Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach AAAI 2022