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Reinforcement Learning

767 directly classified papers

Papers per year

Papers

Deep Reinforcement Learning for NLP ACL 2018

Policies Modulating Trajectory Generators CORL 2018

Fast deep reinforcement learning using online adjustments from the past NIPS 2018

Verifiable Reinforcement Learning via Policy Extraction NIPS 2018

Data-Efficient Hierarchical Reinforcement Learning NIPS 2018

Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding NIPS 2018

Learning to Navigate in Cities Without a Map NIPS 2018

Zero-Shot Transfer with Deictic Object-Oriented Representation in Reinforcement Learning NIPS 2018

Reinforced Video Captioning with Entailment Rewards EMNLP 2017

PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning CVPR 2017

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

Action-Decision Networks for Visual Tracking With Deep Reinforcement Learning CVPR 2017

Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access ACL 2017

ParlAI: A Dialog Research Software Platform EMNLP 2017

Affordable On-line Dialogue Policy Learning EMNLP 2017

Mapping Instructions and Visual Observations to Actions with Reinforcement Learning EMNLP 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

A Reinforcement Learning Approach to the View Planning Problem CVPR 2017

Deep Reinforcement Learning from Human Preferences NIPS 2017