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reinforcement learning

4352 papers

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Also known as

RL REINFORCE

Co-occurring keywords

large language model (13587) policy learning (702) markov decision process (790) policy optimization (657) policy gradient (520) deep reinforcement learning (903) multi-agent system (1819) imitation learning (744) regret bound (1926) language model (4599)

Papers

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning NIPS 2024
Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf NIPS 2024
Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning AAAI 2024
Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation NIPS 2024
Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs NIPS 2024
Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability NIPS 2024
Reinforcement Learning based Data Augmentation for Noise Robust Speech Emotion Recognition INTERSPEECH 2024
RLOP: A Framework for Reinforcement Learning, Optimization and Planning Algorithms IJCAI 2024
Exploration by Learning Diverse Skills through Successor State Representations NIPS 2024
Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces NIPS 2024
No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO NIPS 2024
Stress-Testing Capability Elicitation With Password-Locked Models NIPS 2024
Fuel-Saving Route Planning with Data-Driven and Learning-Based Approaches – A Systematic Solution for Harbor Tugs IJCAI 2024
OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations NIPS 2024
DiffChat: Learning to Chat with Text-to-Image Synthesis Models for Interactive Image Creation ACL 2024
Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation NIPS 2024
Learning to Resolve Social Dilemmas: A Survey (Abstract Reprint) IJCAI 2024
Adaptive Exploration for Data-Efficient General Value Function Evaluations NIPS 2024
Beyond Optimism: Exploration With Partially Observable Rewards NIPS 2024
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision NIPS 2024
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy NIPS 2024
ODRL: A Benchmark for Off-Dynamics Reinforcement Learning NIPS 2024
Diffusion for World Modeling: Visual Details Matter in Atari NIPS 2024
Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus NIPS 2024
RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold NIPS 2024