Reinforcement Learning

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 Revisiting Weighted Strategy for Non-stationary Parametric Bandits AISTATS 2023 Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching ICLR 2023 Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning NeurIPS 2023 Reward-Based Negotiating Agent Strategies AAAI 2023 Reward-Biased Maximum Likelihood Estimation for Neural Contextual Bandits: A Distributional Learning Perspective AAAI 2023 Reward Design for an Online Reinforcement Learning Algorithm Supporting Oral Self-Care AAAI 2023 Reward Design with Language Models ICLR 2023 Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards NeurIPS 2023 Reward Gaming in Conditional Text Generation ACL 2023 Reward-machine-guided, self-paced reinforcement learning UAI 2023 Reward-Mixing MDPs with Few Latent Contexts are Learnable ICML 2023 Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning AAAI 2023