Reinforcement Learning

Thompson Sampling Itself is Differentially Private AISTATS 2024 Time-Constrained Robust MDPs NeurIPS 2024 Time-Varying Propensity Score to Bridge the Gap between the Past and Present ICLR 2024 Timing as an Action: Learning When to Observe and Act AISTATS 2024 Tool-Augmented Reward Modeling ICLR 2024 Towards Achieving Sub-linear Regret and Hard Constraint Violation in Model-free RL AISTATS 2024 Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning NeurIPS 2024 Towards Effective Planning Strategies for Dynamic Opinion Networks NeurIPS 2024 Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing NeurIPS 2024 Towards Imitation Learning to Branch for MIP: A Hybrid Reinforcement Learning based Sample Augmentation Approach ICLR 2024 Towards Optimal Regret in Adversarial Linear MDPs with Bandit Feedback ICLR 2024 Towards Pareto-Efficient RLHF: Paying Attention to a Few High-Reward Samples with Reward Dropout EMNLP 2024 Towards Safe Policy Learning under Partial Identifiability: A Causal Approach AAAI 2024 Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs NeurIPS 2024 Training Diffusion Models with Reinforcement Learning ICLR 2024 Trajectory Data Suffices for Statistically Efficient Learning in Offline RL with Linear q^π-Realizability and Concentrability NeurIPS 2024 Transformers Learn Transition Dynamics when Trained to Predict Markov Decision Processes EMNLP 2024 TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models NeurIPS 2024 Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning NeurIPS 2024 Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions NeurIPS 2024 Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs NeurIPS 2024 Understanding Model Selection for Learning in Strategic Environments NeurIPS 2024 Understanding the Effects of RLHF on LLM Generalisation and Diversity ICLR 2024 UNEX-RL: Reinforcing Long-Term Rewards in Multi-Stage Recommender Systems with UNidirectional EXecution AAAI 2024 Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback NeurIPS 2024