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Reinforcement Learning › Methods ›

Policy Learning

2,076 papers

Papers per year

23
23
216
153
'10
'15
'20
'25

Papers

Off-Agent Trust Region Policy Optimization IJCAI 2024
Global Optimality of Single-Timescale Actor-Critic under Continuous State-Action Space: A Study on Linear Quadratic Regulator IJCAI 2024
A Conservative Approach for Few-Shot Transfer in Off-Dynamics Reinforcement Learning IJCAI 2024
Exterior Penalty Policy Optimization with Penalty Metric Network under Constraints IJCAI 2024
Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks IJCAI 2024
Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation IJCAI 2024
Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization IJCAI 2024
Adaptive Order Q-learning IJCAI 2024
Synthesizing Programmatic Policy for Generalization within Task Domain IJCAI 2024
vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement IJCAI 2024
Privacy-Preserving UCB Decision Process Verification via zk-SNARKs IJCAI 2024
Solving Long-run Average Reward Robust MDPs via Stochastic Games IJCAI 2024
Heterogeneous-Agent Reinforcement Learning JMLR 2024
Effect-Invariant Mechanisms for Policy Generalization JMLR 2024
Policy Gradient Methods in the Presence of Symmetries and State Abstractions JMLR 2024
Robust Black-Box Optimization for Stochastic Search and Episodic Reinforcement Learning JMLR 2024
Decentralized Natural Policy Gradient with Variance Reduction for Collaborative Multi-Agent Reinforcement Learning JMLR 2024
Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning JMLR 2024
Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality JMLR 2024
Data-Efficient Policy Evaluation Through Behavior Policy Search JMLR 2024
On the uniqueness of solution for the Bellman equation of LTL objectives L4DC 2024
A data-driven Riccati equation L4DC 2024
On the nonsmooth geometry and neural approximation of the optimal value function of infinite-horizon pendulum swing-up L4DC 2024
Learning robust policies for uncertain parametric Markov decision processes L4DC 2024
Meta-learning linear quadratic regulators: a policy gradient MAML approach for model-free LQR L4DC 2024