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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

Anytime-Constrained Reinforcement Learning AISTATS 2024
Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback NAACL 2024
Applying Reinforcement Learning and Multi-Generators for Stage Transition in an Emotional Support Dialogue System INTERSPEECH 2024
Amortized Active Causal Induction with Deep Reinforcement Learning NIPS 2024
Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient NIPS 2024
Solving Minimum-Cost Reach Avoid using Reinforcement Learning NIPS 2024
Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation NIPS 2024
Improving Socratic Question Generation using Data Augmentation and Preference Optimization NAACL 2024
Reinforcement Learning based Data Augmentation for Noise Robust Speech Emotion Recognition INTERSPEECH 2024
First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs NIPS 2024
Personalized Abstractive Summarization by Tri-agent Generation Pipeline EACL 2024
Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm NIPS 2024
Improving Autonomous Separation Assurance through Distributed Reinforcement Learning with Attention Networks AAAI 2024
Reinforcement Learning with Token-level Feedback for Controllable Text Generation NAACL 2024
Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning NIPS 2024
Efficient Reinforcement Learning by Discovering Neural Pathways NIPS 2024
Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems AISTATS 2024
Aligning Large Language Models via Fine-grained Supervision ACL 2024
Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation NIPS 2024
Real-Time Recurrent Learning using Trace Units in Reinforcement Learning NIPS 2024
Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification NIPS 2024
AGILE: A Novel Reinforcement Learning Framework of LLM Agents NIPS 2024
SkipDiff: Adaptive Skip Diffusion Model for High-Fidelity Perceptual Image Super-resolution AAAI 2024
DiffPhyCon: A Generative Approach to Control Complex Physical Systems NIPS 2024
QueST: Self-Supervised Skill Abstractions for Learning Continuous Control NIPS 2024