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policy optimization

630 papers

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Also known as

GRPO POLO MAPO PO PPO

Co-occurring keywords

reinforcement learning (4122) markov decision process (788) offline reinforcement learning (492) deep reinforcement learning (903) model-based reinforcement learning (415) large language model (12755) safe reinforcement learning (119) policy learning (699) value function (294) regret bound (1918)

Papers

REBEL: Reinforcement Learning via Regressing Relative Rewards NIPS 2024
Achieving $\tilde{O}(1/\epsilon)$ Sample Complexity for Constrained Markov Decision Process NIPS 2024
Doubly Mild Generalization for Offline Reinforcement Learning NIPS 2024
Navigating Uncertainty in Epidemic Contexts with Reinforcement Learning AAAI 2024
Solving Minimum-Cost Reach Avoid using Reinforcement Learning NIPS 2024
QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers NIPS 2024
P2BPO: Permeable Penalty Barrier-Based Policy Optimization for Safe RL AAAI 2024
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory NIPS 2024
When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human Feedback NIPS 2024
No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning AAAI 2024
An Implicit Trust Region Approach to Behavior Regularized Offline Reinforcement Learning AAAI 2024
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization AAAI 2024
A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning AAAI 2024
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization AAAI 2024
Optimizing Local Satisfaction of Long-Run Average Objectives in Markov Decision Processes AAAI 2024
Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming AAAI 2024
A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective NIPS 2024
Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning AAAI 2024
Policy-shaped prediction: avoiding distractions in model-based reinforcement learning NIPS 2024
Bootstrapped Policy Learning for Task-oriented Dialogue through Goal Shaping EMNLP 2024
Policy Optimization for Robust Average Reward MDPs NIPS 2024
Dynamic Reward Adjustment in Multi-Reward Reinforcement Learning for Counselor Reflection Generation COLING 2024
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation NIPS 2024
Fine-Tuning Language Models with Reward Learning on Policy NAACL 2024
SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent EMNLP 2024