policy optimization

Aligning Large Language Models through Synthetic Feedback EMNLP 2023 An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient NeurIPS 2023 An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination NeurIPS 2023 A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence NeurIPS 2023 Anytime-Competitive Reinforcement Learning with Policy Prior NeurIPS 2023 A Policy Optimization Method Towards Optimal-time Stability CoRL 2023 A Reinforcement Learning Look at Risk-Sensitive Linear Quadratic Gaussian Control L4DC 2023 A Rigorous Risk-aware Linear Approach to Extended Markov Ratio Decision Processes with Embedded Learning IJCAI 2023 Augmented Proximal Policy Optimization for Safe Reinforcement Learning AAAI 2023 Behavior Alignment via Reward Function Optimization NeurIPS 2023 Best of Both Worlds Policy Optimization ICML 2023 Beyond Reward: Offline Preference-guided Policy Optimization ICML 2023 Bi-Level Offline Policy Optimization with Limited Exploration NeurIPS 2023 Boosted Off-Policy Learning AISTATS 2023 Complexity of Derivative-Free Policy Optimization for Structured H_∞ Control NeurIPS 2023 Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems NeurIPS 2023 Conservative State Value Estimation for Offline Reinforcement Learning NeurIPS 2023 Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning NeurIPS 2023 Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees AISTATS 2023 Counterfactual Learning with General Data-Generating Policies AAAI 2023 Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees NeurIPS 2023 Deep Reinforcement Learning for Cost-Effective Medical Diagnosis ICLR 2023 Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback ICML 2023 Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions ICML 2023 Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards ICML 2023