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Reinforcement Learning

2932 directly classified papers

Papers per year

Papers

Continually Improving Extractive QA via Human Feedback EMNLP 2023
Enhancing Task-oriented Dialogue Systems with Generative Post-processing Networks EMNLP 2023
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning EMNLP 2023
trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback EMNLP 2023
Crystal: Introspective Reasoners Reinforced with Self-Feedback EMNLP 2023
KRLS: Improving End-to-End Response Generation in Task Oriented Dialog with Reinforced Keywords Learning EMNLP 2023
Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback EMNLP 2023
Reinforced Target-driven Conversational Promotion EMNLP 2023
Be Selfish, But Wisely: Investigating the Impact of Agent Personality in Mixed-Motive Human-Agent Interactions EMNLP 2023
Reinforcement Replaces Supervision: Query focused Summarization using Deep Reinforcement Learning EMNLP 2023
Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment EMNLP 2023
DialGuide: Aligning Dialogue Model Behavior with Developer Guidelines EMNLP 2023
Non-stationary Reinforcement Learning under General Function Approximation ICML 2023
Replicable Reinforcement Learning NIPS 2023
Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space ICML 2023
Efficient Online Reinforcement Learning with Offline Data ICML 2023
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning ICML 2023
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance CORL 2023
Aligning Language Models with Preferences through $f$-divergence Minimization ICML 2023
Reinforcement Learning from Passive Data via Latent Intentions ICML 2023
Information-Theoretic State Space Model for Multi-View Reinforcement Learning ICML 2023
The Impact of Exploration on Convergence and Performance of Multi-Agent Q-Learning Dynamics ICML 2023
Reparameterized Policy Learning for Multimodal Trajectory Optimization ICML 2023
Reinforcement Learning in Low-rank MDPs with Density Features ICML 2023
Thompson Sampling with Diffusion Generative Prior ICML 2023