Methods

Tactics of Adversarial Attack on Deep Reinforcement Learning Agents IJCAI 2017 Teaching Machines to Describe Images with Natural Language Feedback NeurIPS 2017 Tensor Based Knowledge Transfer Across Skill Categories for Robot Control IJCAI 2017 The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously CoRL 2017 The MADP Toolbox: An Open Source Library for Planning and Learning in (Multi-)Agent Systems JMLR 2017 Thompson Sampling for Linear-Quadratic Control Problems AISTATS 2017 Transfer Learning in Multi-Armed Bandits: A Causal Approach IJCAI 2017 Uncertainty-driven Imagination for Continuous Deep Reinforcement Learning CoRL 2017 Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning NeurIPS 2017 Unsupervised Perceptual Rewards for Imitation Learning RSS 2017 Using Options and Covariance Testing for Long Horizon Off-Policy Policy Evaluation NeurIPS 2017 Value-Aware Loss Function for Model-based Reinforcement Learning AISTATS 2017 Value Iteration Networks IJCAI 2017 Value Prediction Network NeurIPS 2017 Weighted Double Q-learning IJCAI 2017 Why is Posterior Sampling Better than Optimism for Reinforcement Learning? ICML 2017 World of Bits: An Open-Domain Platform for Web-Based Agents ICML 2017 Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning ICML 2017 Addressing Environment Non-Stationarity by Repeating Q-learning Updates JMLR 2016 A Fast and Reliable Policy Improvement Algorithm AISTATS 2016 Analysis of Classification-based Policy Iteration Algorithms JMLR 2016 An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning JMLR 2016 A PAC RL Algorithm for Episodic POMDPs AISTATS 2016 Approximate Newton Methods for Policy Search in Markov Decision Processes JMLR 2016 A Probabilistic Model of Social Decision Making based on Reward Maximization NeurIPS 2016