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Policy Learning

2,076 papers

Papers per year

23
23
216
153
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'25

Papers

Robust Average-Reward Markov Decision Processes AAAI 2023
User-Oriented Robust Reinforcement Learning AAAI 2023
A New Challenge in Policy Evaluation AAAI 2023
Model-Based Offline Weighted Policy Optimization (Student Abstract) AAAI 2023
Constrained Policy Optimization for Controlled Self-Learning in Conversational AI Systems ACL 2023
Human-in-the-loop Abstractive Dialogue Summarization ACL 2023
A Pragmatic Look at Deep Imitation Learning ACML 2023
Logarithmic regret in communicating MDPs: Leveraging known dynamics with bandits ACML 2023
Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees AISTATS 2023
Mode-constrained Model-based Reinforcement Learning via Gaussian Processes AISTATS 2023
Exploration in Reward Machines with Low Regret AISTATS 2023
A Tighter Problem-Dependent Regret Bound for Risk-Sensitive Reinforcement Learning AISTATS 2023
Symmetric (Optimistic) Natural Policy Gradient for Multi-Agent Learning with Parameter Convergence AISTATS 2023
Optimism and Delays in Episodic Reinforcement Learning AISTATS 2023
Dueling RL: Reinforcement Learning with Trajectory Preferences AISTATS 2023
Identification of Blackwell Optimal Policies for Deterministic MDPs AISTATS 2023
Minimax-Bayes Reinforcement Learning AISTATS 2023
Model-Based Uncertainty in Value Functions AISTATS 2023
Multiple-policy High-confidence Policy Evaluation AISTATS 2023
Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning AISTATS 2023
On The Convergence Of Policy Iteration-Based Reinforcement Learning With Monte Carlo Policy Evaluation AISTATS 2023
Reinforcement Learning with Stepwise Fairness Constraints AISTATS 2023
Provable Safe Reinforcement Learning with Binary Feedback AISTATS 2023
Provable Hierarchy-Based Meta-Reinforcement Learning AISTATS 2023
Algorithm for Constrained Markov Decision Process with Linear Convergence AISTATS 2023