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Reinforcement Learning

2932 directly classified papers

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Papers

Continuous Deep Q-Learning with Model-based Acceleration ICML 2016
Near Optimal Behavior via Approximate State Abstraction ICML 2016
Model-Free Trajectory Optimization for Reinforcement Learning ICML 2016
A Fast and Reliable Policy Improvement Algorithm AISTATS 2016
On the Use of Non-Stationary Strategies for Solving Two-Player Zero-Sum Markov Games AISTATS 2016
Learning Simple Algorithms from Examples ICML 2016
Estimating Maximum Expected Value through Gaussian Approximation ICML 2016
Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and Control ICML 2016
Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning ICML 2016
Hierarchical Decision Making In Electricity Grid Management ICML 2016
Generalization and Exploration via Randomized Value Functions ICML 2016
An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning JMLR 2016
Improving PAC Exploration Using the Median Of Means NIPS 2016
Safe and Efficient Off-Policy Reinforcement Learning NIPS 2016
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes NIPS 2016
Safe Policy Improvement by Minimizing Robust Baseline Regret NIPS 2016
Threshold Learning for Optimal Decision Making NIPS 2016
Tree-Structured Reinforcement Learning for Sequential Object Localization NIPS 2016
Adaptive optimal training of animal behavior NIPS 2016
Blazing the trails before beating the path: Sample-efficient Monte-Carlo planning NIPS 2016
A Probabilistic Model of Social Decision Making based on Reward Maximization NIPS 2016
Data Generation as Sequential Decision Making NIPS 2015
Interactive Control of Diverse Complex Characters with Neural Networks NIPS 2015
Online Planning for Autonomous Running Jumps Over Obstacles in High-Speed Quadrupeds RSS 2015
Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing ICML 2015