Reinforcement Learning

Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning NeurIPS 2023 Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation ICML 2023 Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning AISTATS 2023 Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment EMNLP 2023 INA: An Integrative Approach for Enhancing Negotiation Strategies with Reward-Based Dialogue Agent EMNLP 2023 Incentivizing Exploration with Linear Contexts and Combinatorial Actions ICML 2023 Incremental Reinforcement Learning with Dual-Adaptive ε-Greedy Exploration AAAI 2023 Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning EMNLP 2023 Information-Theoretic State Space Model for Multi-View Reinforcement Learning ICML 2023 Instance-Dependent Confidence and Early Stopping for Reinforcement Learning JMLR 2023 Instance-Optimality in Interactive Decision Making: Toward a Non-Asymptotic Theory COLT 2023 Intervention-Based Alignment of Code Search with Execution Feedback EMNLP 2023 Invariance in Policy Optimisation and Partial Identifiability in Reward Learning ICML 2023 Inverse Reinforcement Learning for Text Summarization EMNLP 2023 KRLS: Improving End-to-End Response Generation in Task Oriented Dialog with Reinforced Keywords Learning EMNLP 2023 KuaiSim: A Comprehensive Simulator for Recommender Systems NeurIPS 2023 Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning ICML 2023 Large-State Reinforcement Learning for Hyper-Heuristics AAAI 2023 LDM2: A Large Decision Model Imitating Human Cognition with Dynamic Memory Enhancement EMNLP 2023 Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown Transition ICLR 2023 Learning Control-Oriented Dynamical Structure from Data ICML 2023 Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model ICLR 2023 Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees ICML 2023 Learning GFlowNets From Partial Episodes For Improved Convergence And Stability ICML 2023 Learning Human-to-Robot Handovers From Point Clouds CVPR 2023