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Reinforcement Learning

2,944 papers

Papers per year

22
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284
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Papers

Multi-Agent Systems of Inverse Reinforcement Learners in Complex Games IJCAI 2017
Curriculum Learning in Reinforcement Learning IJCAI 2017
Grammatical Error Correction with Neural Reinforcement Learning IJCNLP 2017
Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles JMLR 2017
Joint Optimization of Robot Design and Motion Parameters using the Implicit Function Theorem RSS 2017
Learning Models for Shared Control of Human-Machine Systems with Unknown Dynamics RSS 2017
Intention-Aware Motion Planning Using Learning Based Human Motion Prediction RSS 2017
Preparing for the Unknown: Learning a Universal Policy with Online System Identification RSS 2017
Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models RSS 2017
From the Lab to the Desert: Fast Prototyping and Learning of Robot Locomotion RSS 2017
Improving PAC Exploration Using the Median Of Means NIPS 2016
A Probabilistic Model of Social Decision Making based on Reward Maximization NIPS 2016
Blazing the trails before beating the path: Sample-efficient Monte-Carlo planning NIPS 2016
Adaptive optimal training of animal behavior NIPS 2016
Tree-Structured Reinforcement Learning for Sequential Object Localization NIPS 2016
Threshold Learning for Optimal Decision Making NIPS 2016
Safe Policy Improvement by Minimizing Robust Baseline Regret NIPS 2016
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes NIPS 2016
Safe and Efficient Off-Policy Reinforcement Learning NIPS 2016
On the Use of Non-Stationary Strategies for Solving Two-Player Zero-Sum Markov Games AISTATS 2016
A Fast and Reliable Policy Improvement Algorithm 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