Reinforcement Learning

Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning AAAI 2023 Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement Learning ICLR 2023 Variance Control for Distributional Reinforcement Learning ICML 2023 Variance-Dependent Regret Bounds for Linear Bandits and Reinforcement Learning: Adaptivity and Computational Efficiency COLT 2023 Variance-Reduced Conservative Policy Iteration ALT 2023 Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies NeurIPS 2023 Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills ICML 2023 Variational Latent Branching Model for Off-Policy Evaluation ICLR 2023 Vessel-to-Vessel Motion Compensation with Reinforcement Learning AAAI 2023 Video Prediction Models as Rewards for Reinforcement Learning NeurIPS 2023 VIMA: Robot Manipulation with Multimodal Prompts ICML 2023 VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation ICLR 2023 VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training ICLR 2023 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-Based Imitation Learning for Robotic Manipulation CoRL 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