Reinforcement Learning

Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents ICLR 2024 Polarity Calibration for Opinion Summarization NAACL 2024 Policy Evaluation for Reinforcement Learning from Human Feedback: A Sample Complexity Analysis AISTATS 2024 Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting NeurIPS 2024 Policy Mirror Descent with Lookahead NeurIPS 2024 Policy Optimization for Robust Average Reward MDPs NeurIPS 2024 Potential-Based Reward Shaping for Intrinsic Motivation (Student Abstract) AAAI 2024 Predicting Future Actions of Reinforcement Learning Agents NeurIPS 2024 PRewrite: Prompt Rewriting with Reinforcement Learning ACL 2024 Prior-dependent analysis of posterior sampling reinforcement learning with function approximation AISTATS 2024 Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients AISTATS 2024 Probabilistic Offline Policy Ranking with Approximate Bayesian Computation AAAI 2024 Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs COLT 2024 Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking EMNLP 2024 Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo ICLR 2024 Provable Memory Efficient Self-Play Algorithm for Model-free Reinforcement Learning ICLR 2024 Provable Partially Observable Reinforcement Learning with Privileged Information NeurIPS 2024 Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation NeurIPS 2024 Provably Efficient UCB-type Algorithms For Learning Predictive State Representations ICLR 2024 P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models ACL 2024 Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model NeurIPS 2024 QGFN: Controllable Greediness with Action Values NeurIPS 2024 QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers NeurIPS 2024 RaFe: Ranking Feedback Improves Query Rewriting for RAG EMNLP 2024 Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces NeurIPS 2024