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Reinforcement Learning

984 papers

Papers per year

4
73
76
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Papers

Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes NIPS 2017
Inverse Reward Design NIPS 2017
Successor Features for Transfer in Reinforcement Learning NIPS 2017
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation NIPS 2017
Optimistic posterior sampling for reinforcement learning: worst-case regret bounds NIPS 2017
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets NIPS 2017
Reinforcement Learning under Model Mismatch NIPS 2017
Repeated Inverse Reinforcement Learning NIPS 2017
Deep Reinforcement Learning from Human Preferences NIPS 2017
Bridging the Gap Between Value and Policy Based Reinforcement Learning NIPS 2017
Natural Value Approximators: Learning when to Trust Past Estimates NIPS 2017
Active Exploration for Learning Symbolic Representations NIPS 2017
Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access ACL 2017
Action-Decision Networks for Visual Tracking With Deep Reinforcement Learning CVPR 2017
PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning CVPR 2017
A Reinforcement Learning Approach to the View Planning Problem CVPR 2017
Learning how to Active Learn: A Deep Reinforcement Learning Approach EMNLP 2017
Reinforced Video Captioning with Entailment Rewards EMNLP 2017
Mapping Instructions and Visual Observations to Actions with Reinforcement Learning EMNLP 2017
Affordable On-line Dialogue Policy Learning EMNLP 2017
ParlAI: A Dialog Research Software Platform EMNLP 2017
Adaptive Skills Adaptive Partitions (ASAP) NIPS 2016
Cooperative Inverse Reinforcement Learning NIPS 2016
Generating Long-term Trajectories Using Deep Hierarchical Networks NIPS 2016
Reinforcement Learning for Visual Object Detection CVPR 2016