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reinforcement learning

4122 papers

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Also known as

RLVR HARL GRPO RL PPO REINFORCE RFT DRL RL NULL LQR RLHF

Co-occurring keywords

large language model (12755) policy learning (699) markov decision process (788) policy gradient (518) policy optimization (630) deep reinforcement learning (903) multi-agent system (1743) imitation learning (741) regret bound (1918) language model (4573)

Papers

Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation Mismatch NIPS 2024
Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures AAAI 2024
State Chrono Representation for Enhancing Generalization in Reinforcement Learning NIPS 2024
Implicit Curriculum in Procgen Made Explicit NIPS 2024
Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads NIPS 2024
Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes AAAI 2024
Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs NIPS 2024
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms NIPS 2024
Learning Formal Mathematics From Intrinsic Motivation NIPS 2024
Response Enhanced Semi-supervised Dialogue Query Generation AAAI 2024
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing NIPS 2024
Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting NIPS 2024
Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge AAAI 2024
Using Unity to Help Solve Reinforcement Learning NIPS 2024
Policy Mirror Descent with Lookahead NIPS 2024
Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf NIPS 2024
Recursive Introspection: Teaching Language Model Agents How to Self-Improve NIPS 2024
E2CL: Exploration-based Error Correction Learning for Embodied Agents EMNLP 2024
Can Learned Optimization Make Reinforcement Learning Less Difficult? NIPS 2024
Exploration by Learning Diverse Skills through Successor State Representations NIPS 2024
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory NIPS 2024
No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO NIPS 2024
Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability NIPS 2024
On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games NIPS 2024
Mars: Situated Inductive Reasoning in an Open-World Environment NIPS 2024