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Policy Learning

2,076 papers

Papers per year

23
23
216
153
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Papers

Optimizing Percentile Criterion using Robust MDPs AISTATS 2021
When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence AISTATS 2021
Algorithms for Fairness in Sequential Decision Making AISTATS 2021
Abstract Value Iteration for Hierarchical Reinforcement Learning AISTATS 2021
Provably Safe PAC-MDP Exploration Using Analogies AISTATS 2021
Q-learning with Logarithmic Regret AISTATS 2021
Minimax Model Learning AISTATS 2021
Reinforcement Learning in Parametric MDPs with Exponential Families AISTATS 2021
On the Linear Convergence of Policy Gradient Methods for Finite MDPs AISTATS 2021
Reinforcement Learning for Constrained Markov Decision Processes AISTATS 2021
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization AISTATS 2021
A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces AISTATS 2021
Logistic Q-Learning AISTATS 2021
Softmax Policy Gradient Methods Can Take Exponential Time to Converge COLT 2021
Cautiously Optimistic Policy Optimization and Exploration with Linear Function Approximation COLT 2021
Is Reinforcement Learning More Difficult Than Bandits? A Near-optimal Algorithm Escaping the Curse of Horizon COLT 2021
Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov Decision Processes COLT 2021
Discrete-Continuous Action Space Policy Gradient-Based Attention for Image-Text Matching CVPR 2021
ReAgent: Point Cloud Registration Using Imitation and Reinforcement Learning CVPR 2021
Translation-based Supervision for Policy Generation in Simultaneous Neural Machine Translation EMNLP 2021
Neuro-Symbolic Approaches for Text-Based Policy Learning EMNLP 2021
Adaptive Information Seeking for Open-Domain Question Answering EMNLP 2021
Efficient Dialogue Complementary Policy Learning via Deep Q-network Policy and Episodic Memory Policy EMNLP 2021
Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning EMNLP 2021
A Collaborative Multi-agent Reinforcement Learning Framework for Dialog Action Decomposition EMNLP 2021