Policy Learning

OMPO: A Unified Framework for RL under Policy and Dynamics Shifts ICML 2024 One-Shot Safety Alignment for Large Language Models via Optimal Dualization NeurIPS 2024 Online Learning in CMDPs: Handling Stochastic and Adversarial Constraints ICML 2024 Online Markov Decision Processes Configuration with Continuous Decision Space AAAI 2024 Online Matching with Stochastic Rewards: Provable Better Bound via Adversarial Reinforcement Learning ICML 2024 Online Policy Optimization for Robust Markov Decision Process UAI 2024 Online Policy Optimization in Unknown Nonlinear Systems COLT 2024 Online Reinforcement Learning-Based Pedagogical Planning for Narrative-Centered Learning Environments AAAI 2024 On the Expressivity of Objective-Specification Formalisms in Reinforcement Learning ICLR 2024 On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization EMNLP 2024 On the Model-Misspecification in Reinforcement Learning AISTATS 2024 On the nonsmooth geometry and neural approximation of the optimal value function of infinite-horizon pendulum swing-up L4DC 2024 On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games NeurIPS 2024 On the Second-Order Convergence of Biased Policy Gradient Algorithms ICML 2024 On the uniqueness of solution for the Bellman equation of LTL objectives L4DC 2024 Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning ICLR 2024 Optimistic Multi-Agent Policy Gradient ICML 2024 Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property AAAI 2024 Oracle-Efficient Reinforcement Learning for Max Value Ensembles NeurIPS 2024 Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning ICML 2024 P2BPO: Permeable Penalty Barrier-Based Policy Optimization for Safe RL AAAI 2024 Parallelizing Model-based Reinforcement Learning Over the Sequence Length NeurIPS 2024 Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation IJCAI 2024 Pausing Policy Learning in Non-stationary Reinforcement Learning ICML 2024 Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations AAAI 2024