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Policy Learning

2068 directly classified papers

Papers per year

Papers

Multi-Agent Systems of Inverse Reinforcement Learners in Complex Games IJCAI 2017
Learning Partial Policies to Speedup MDP Tree Search via Reduction to I.I.D. Learning JMLR 2017
Non-parametric Policy Search with Limited Information Loss JMLR 2017
Domain-Independent User Satisfaction Reward Estimation for Dialogue Policy Learning INTERSPEECH 2017
Analysis of Classification-based Policy Iteration Algorithms JMLR 2016
Bayesian Policy Gradient and Actor-Critic Algorithms JMLR 2016
Cooperative Inverse Reinforcement Learning NIPS 2016
A Stochastic Model for Computer-Aided Human-Human Dialogue INTERSPEECH 2016
Policy Error Bounds for Model-Based Reinforcement Learning with Factored Linear Models COLT 2016
Reinforcement Learning of POMDPs using Spectral Methods COLT 2016
Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization ICML 2016
A PAC RL Algorithm for Episodic POMDPs AISTATS 2016
Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and Control ICML 2016
Online Relative Entropy Policy Search using Reproducing Kernel Hilbert Space Embeddings AISTATS 2016
Black-Box Policy Search with Probabilistic Programs AISTATS 2016
A Fast and Reliable Policy Improvement Algorithm AISTATS 2016
An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning JMLR 2016
A Probabilistic Model of Social Decision Making based on Reward Maximization NIPS 2016
Guided Policy Search via Approximate Mirror Descent NIPS 2016
Combined Optimization and Reinforcement Learning for Manipulation Skills RSS 2016
Model-Free Trajectory Optimization for Reinforcement Learning ICML 2016
Only H is left: Near-tight Episodic PAC RL NIPS 2016
Hierarchical Relative Entropy Policy Search JMLR 2016
Smooth Imitation Learning for Online Sequence Prediction ICML 2016
Differentially Private Policy Evaluation ICML 2016