Deep RL

Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions CoRL 2023 Quality-Similar Diversity via Population Based Reinforcement Learning ICLR 2023 Quantile Credit Assignment ICML 2023 Quantum Multi-Agent Meta Reinforcement Learning AAAI 2023 Reachability-Aware Laplacian Representation in Reinforcement Learning ICML 2023 Reader: Model-based language-instructed reinforcement learning EMNLP 2023 REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation CoRL 2023 Recurrent Hypernetworks are Surprisingly Strong in Meta-RL NeurIPS 2023 Reflexion: language agents with verbal reinforcement learning NeurIPS 2023 ReGen: A good Generative Zero-Shot Video Classifier Should be Rewarded ICCV 2023 Regret-Optimal Model-Free Reinforcement Learning for Discounted MDPs with Short Burn-In Time NeurIPS 2023 Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice ICML 2023 Reinforced Approximate Exploratory Data Analysis AAAI 2023 Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions NeurIPS 2023 Reinforcement Learning-Based Black-Box Model Inversion Attacks CVPR 2023 Reinforcement Learning Can Be More Efficient with Multiple Rewards ICML 2023 Reinforcement Learning for Adaptive Mesh Refinement AISTATS 2023 Reinforcement Learning for Branch-and-Bound Optimisation Using Retrospective Trajectories AAAI 2023 Reinforcement Learning for Joint Optimization of Multiple Rewards JMLR 2023 Reinforcement Learning for Topic Models ACL 2023 Reinforcement Learning in Low-rank MDPs with Density Features ICML 2023 Reinforcement Learning with Fast and Forgetful Memory NeurIPS 2023 Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space ICML 2023 Reinforcement Learning with Simple Sequence Priors NeurIPS 2023 Reinforcement Replaces Supervision: Query focused Summarization using Deep Reinforcement Learning EMNLP 2023