conftrace_

policy learning

702 papers

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Co-occurring keywords

reinforcement learning (4352) imitation learning (744) deep reinforcement learning (903) offline reinforcement learning (492) policy optimization (657) reward function (291) multi-agent system (1819) inverse reinforcement learning (205) markov decision process (790) robot manipulation (262)

Papers

How to Build User Simulators to Train RL-based Dialog Systems EMNLP 2019
Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning EMNLP 2019
Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations CORL 2019
Multi-Task Deep Reinforcement Learning with PopArt AAAI 2019
Distilling Policy Distillation AISTATS 2019
Learning When Not to Answer: a Ternary Reward Structure for Reinforcement Learning Based Question Answering NAACL 2019
Learning How to Active Learn by Dreaming ACL 2019
Co-training for Policy Learning UAI 2019
Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation EMNLP 2019
Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning AAAI 2019
OIL: Observational Imitation Learning RSS 2019
Composing Value Functions in Reinforcement Learning ICML 2019
Active Exploration in Markov Decision Processes AISTATS 2019
Cross-View Policy Learning for Street Navigation ICCV 2019
Recent Advances in Imitation Learning from Observation IJCAI 2019
Semi-Supervised Learning of Decision-Making Models for Human-Robot Collaboration CORL 2019
Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation IJCNLP 2019
Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning IJCNLP 2019
Collaborative Policy Learning for Open Knowledge Graph Reasoning IJCNLP 2019
How to Build User Simulators to Train RL-based Dialog Systems IJCNLP 2019
Hierarchical Text Classification with Reinforced Label Assignment IJCNLP 2019
Connectivity Guaranteed Multi-robot Navigation via Deep Reinforcement Learning CORL 2019
Adaptive Auxiliary Task Weighting for Reinforcement Learning NIPS 2019
AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers CORL 2019
A PAC Framework for Aggregating Agents’ Judgments AAAI 2019