conftrace_

policy optimization

771 papers

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Also known as

POLO PO

Co-occurring keywords · papers mentioning both

reinforcement learning (237) markov decision process (81) offline reinforcement learning (69) large language model (56) model-based reinforcement learning (53) sample efficiency (44) deep reinforcement learning (43) safe reinforcement learning (40) continuous control (39) value function (37)

Papers

When Maximum Entropy Misleads Policy Optimization ICML 2025 When to Continue Thinking: Adaptive Thinking Mode Switching for Efficient Reasoning EMNLP 2025 A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective NeurIPS 2024 Absolute Policy Optimization: Enhancing Lower Probability Bound of Performance with High Confidence ICML 2024 Accelerating Visual Sparse-Reward Learning with Latent Nearest-Demonstration-Guided Explorations CoRL 2024 Achieving Õ(1/ε) Sample Complexity for Constrained Markov Decision Process NeurIPS 2024 ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints ICML 2024 ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning AAAI 2024 Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning NeurIPS 2024 A General Theoretical Paradigm to Understand Learning from Human Preferences AISTATS 2024 Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization ACL 2024 An Implicit Trust Region Approach to Behavior Regularized Offline Reinforcement Learning AAAI 2024 A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning AAAI 2024 A Structure-Aware Framework for Learning Device Placements on Computation Graphs NeurIPS 2024 A Survey of Constraint Formulations in Safe Reinforcement Learning IJCAI 2024 Back to Basics: Revisiting REINFORCE-Style Optimization for Learning from Human Feedback in LLMs ACL 2024 Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation AAAI 2024 Belief-State Query Policies for User-Aligned POMDPs NeurIPS 2024 Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints ICLR 2024 BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling NeurIPS 2024 Bootstrapped Policy Learning for Task-oriented Dialogue through Goal Shaping EMNLP 2024 Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification NeurIPS 2024 C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory NeurIPS 2024 Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning NeurIPS 2024 Constrained Intrinsic Motivation for Reinforcement Learning IJCAI 2024