Policy Learning
2,633 papers
Papers per year
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24
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27
61
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Papers
Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data
EMNLP 2024
Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study
ICML 2024
Is Value Learning Really the Main Bottleneck in Offline RL?
NeurIPS 2024
Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-constraint
ICML 2024
Iterative Regularized Policy Optimization with Imperfect Demonstrations
ICML 2024
Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics
RSS 2024
KOI: Accelerating Online Imitation Learning via Hybrid Key-state Guidance
CoRL 2024
Langevin Policy for Safe Reinforcement Learning
ICML 2024
Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game
ICML 2024
Language Model Adaption for Reinforcement Learning with Natural Language Action Space
ACL 2024
Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning
NeurIPS 2024
Latent Learning Progress Drives Autonomous Goal Selection in Human Reinforcement Learning
NeurIPS 2024
Learning a Diffusion Model Policy from Rewards via Q-Score Matching
ICML 2024
Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem
NeurIPS 2024
Learning Formal Mathematics From Intrinsic Motivation
NeurIPS 2024
Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm
NeurIPS 2024
Learning H-Infinity Locomotion Control
CoRL 2024
Learning Long-Horizon Action Dependencies in Sampling-Based Bilevel Planning
CoRL 2024
Learning Optimal Advantage from Preferences and Mistaking It for Reward
AAAI 2024
Learning Optimal Deterministic Policies with Stochastic Policy Gradients
ICML 2024
Learning robust policies for uncertain parametric Markov decision processes
L4DC 2024
Learning Safety Constraints from Demonstrations with Unknown Rewards
AISTATS 2024
Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards
NeurIPS 2024
Learning to Build by Building Your Own Instructions
ECCV 2024
Learning to Look: Seeking Information for Decision Making via Policy Factorization
CoRL 2024