Methods

Reinforcement Learning with History Dependent Dynamic Contexts ICML 2023 Reinforcement Learning with Simple Sequence Priors NeurIPS 2023 Reinforcement Learning with Stepwise Fairness Constraints AISTATS 2023 Reinforcement Replaces Supervision: Query focused Summarization using Deep Reinforcement Learning EMNLP 2023 Reining Generalization in Offline Reinforcement Learning via Representation Distinction NeurIPS 2023 ReLeaPS : Reinforcement Learning-based Illumination Planning for Generalized Photometric Stereo ICCV 2023 Reliable Off-Policy Learning for Dosage Combinations NeurIPS 2023 ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs ICML 2023 Reparameterized Policy Learning for Multimodal Trajectory Optimization ICML 2023 Replicable Reinforcement Learning NeurIPS 2023 RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability NeurIPS 2023 RePreM: Representation Pre-training with Masked Model for Reinforcement Learning AAAI 2023 Representation-Driven Reinforcement Learning ICML 2023 Representation Learning in Deep RL via Discrete Information Bottleneck AISTATS 2023 Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL ICML 2023 Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition ICML 2023 ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor ICLR 2023 Resetting the Optimizer in Deep RL: An Empirical Study NeurIPS 2023 Residual Q-Learning: Offline and Online Policy Customization without Value NeurIPS 2023 Retrosynthetic Planning with Dual Value Networks ICML 2023 Revisiting Bellman Errors for Offline Model Selection ICML 2023 Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization ICML 2023 Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments ICLR 2023 Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation ICML 2023 Revisiting the Minimalist Approach to Offline Reinforcement Learning NeurIPS 2023