← Methods
Reinforcement Learning › Methods ›

Policy Learning

2068 directly classified papers

Papers per year

Papers

Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data EMNLP 2024
OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning AAAI 2024
Model-Based Transfer Learning for Contextual Reinforcement Learning NIPS 2024
Relative Policy-Transition Optimization for Fast Policy Transfer AAAI 2024
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers NIPS 2024
A Primal-Dual-Critic Algorithm for Offline Constrained Reinforcement Learning AISTATS 2024
Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning NIPS 2024
Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue EMNLP 2024
Minimax-optimal reward-agnostic exploration in reinforcement learning COLT 2024
Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration NIPS 2024
Filtered Direct Preference Optimization EMNLP 2024
An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning NIPS 2024
Reward Modeling Requires Automatic Adjustment Based on Data Quality EMNLP 2024
A Fairness-Driven Method for Learning Human-Compatible Negotiation Strategies EMNLP 2024
EPO: Hierarchical LLM Agents with Environment Preference Optimization EMNLP 2024
ABLE: Personalized Disability Support with Politeness and Empathy Integration EMNLP 2024
Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation NIPS 2024
Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code EMNLP 2024
ToolPlanner: A Tool Augmented LLM for Multi Granularity Instructions with Path Planning and Feedback EMNLP 2024
Measuring Mutual Policy Divergence for Multi-Agent Sequential Exploration NIPS 2024
Rethinking the Role of Proxy Rewards in Language Model Alignment EMNLP 2024
Mitigating Open-Vocabulary Caption Hallucinations EMNLP 2024
Exploiting Careful Design of SVM Solution for Aspect-term Sentiment Analysis EMNLP 2024
Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation EMNLP 2024
Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs NIPS 2024