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Reinforcement Learning

767 directly classified papers

Papers per year

Papers

Learning how to Active Learn: A Deep Reinforcement Learning Approach EMNLP 2017
Active Exploration for Learning Symbolic Representations NIPS 2017
Natural Value Approximators: Learning when to Trust Past Estimates NIPS 2017
Bridging the Gap Between Value and Policy Based Reinforcement Learning NIPS 2017
Cooperative Inverse Reinforcement Learning NIPS 2016
Reinforcement Learning for Visual Object Detection CVPR 2016
Generating Long-term Trajectories Using Deep Hierarchical Networks NIPS 2016
Adaptive Skills Adaptive Partitions (ASAP) NIPS 2016
Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics NIPS 2014
How hard is my MDP?" The distribution-norm to the rescue" NIPS 2014
Algorithms for CVaR Optimization in MDPs NIPS 2014
Near-optimal Reinforcement Learning in Factored MDPs NIPS 2014
Projected Natural Actor-Critic NIPS 2013
Policy Shaping: Integrating Human Feedback with Reinforcement Learning NIPS 2013
Variational Policy Search via Trajectory Optimization NIPS 2013
Transferring Expectations in Model-based Reinforcement Learning NIPS 2012
Value Pursuit Iteration NIPS 2012
Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems NIPS 2012
Cost-Sensitive Exploration in Bayesian Reinforcement Learning NIPS 2012
Inverse Reinforcement Learning through Structured Classification NIPS 2012
Neurally Plausible Reinforcement Learning of Working Memory Tasks NIPS 2012
Timely Object Recognition NIPS 2012
Imitation Learning by Coaching NIPS 2012
Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery NIPS 2011
Action-Gap Phenomenon in Reinforcement Learning NIPS 2011