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Policy Learning

2068 directly classified papers

Papers per year

Papers

Generative Flow Networks as Entropy-Regularized RL AISTATS 2024
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator NIPS 2024
Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems AISTATS 2024
Independent Learning in Constrained Markov Potential Games AISTATS 2024
Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms NIPS 2024
Timing as an Action: Learning When to Observe and Act AISTATS 2024
Resilient Constrained Reinforcement Learning AISTATS 2024
Occupancy-based Policy Gradient: Estimation, Convergence, and Optimality NIPS 2024
Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients AISTATS 2024
On the Model-Misspecification in Reinforcement Learning AISTATS 2024
Online Reinforcement Learning-Based Pedagogical Planning for Narrative-Centered Learning Environments AAAI 2024
Integrating Neural Pathways for Learning in Deep Reinforcement Learning Models AAAI 2024
Privacy-Preserving Decentralized Actor-Critic for Cooperative Multi-Agent Reinforcement Learning AISTATS 2024
Maximum entropy GFlowNets with soft Q-learning AISTATS 2024
A Doubly Robust Approach to Sparse Reinforcement Learning AISTATS 2024
Safe and Interpretable Estimation of Optimal Treatment Regimes AISTATS 2024
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees (Abstract Reprint) AAAI 2024
Positivity-free Policy Learning with Observational Data AISTATS 2024
Towards Achieving Sub-linear Regret and Hard Constraint Violation in Model-free RL AISTATS 2024
Actor Prioritized Experience Replay (Abstract Reprint) AAAI 2024
Recent Advancements in Inverse Reinforcement Learning AAAI 2024
Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint) AAAI 2024
Decentralized Natural Policy Gradient with Variance Reduction for Collaborative Multi-Agent Reinforcement Learning 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