proximal policy optimization

Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning ICLR 2024 P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models ACL 2024 Reinforcement Learning from Answer Reranking Feedback for Retrieval-Augmented Answer Generation Interspeech 2024 Reinforcement Nash Equilibrium Solver IJCAI 2024 ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models ICML 2024 RePALM: Popular Quote Tweet Generation via Auto-Response Augmentation ACL 2024 Reward Model Ensembles Help Mitigate Overoptimization ICLR 2024 Robust Multi-Agent Reinforcement Learning for Autonomous Vehicle in Noisy Highway Environments ACML 2024 Scale Optimization Using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery AAAI 2024 SeRTS: Self-Rewarding Tree Search for Biomedical Retrieval-Augmented Generation EMNLP 2024 Sharing the Cost of Success: A Game for Evaluating and Learning Collaborative Multi-Agent Instruction Giving and Following Policies COLING 2024 StablePrompt : Automatic Prompt Tuning using Reinforcement Learning for Large Language Model EMNLP 2024 TRIP NEGOTIATOR: A Travel Persona-aware Reinforced Dialogue Generation Model for Personalized Integrative Negotiation in Tourism EMNLP 2024 Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback NeurIPS 2024 When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search NeurIPS 2024 A Theoretical Analysis of Optimistic Proximal Policy Optimization in Linear Markov Decision Processes NeurIPS 2023 Augmented Proximal Policy Optimization for Safe Reinforcement Learning AAAI 2023 Behavior Proximal Policy Optimization ICLR 2023 Can Agents Run Relay Race with Strangers? Generalization of RL to Out-of-Distribution Trajectories ICLR 2023 DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models EMNLP 2023 Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning NeurIPS 2023 FanoutNet: A Neuralized PCB Fanout Automation Method Using Deep Reinforcement Learning AAAI 2023 Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves IJCAI 2023 Gradient Informed Proximal Policy Optimization NeurIPS 2023 LapGym - An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery JMLR 2023