Reinforcement Learning

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 The Predictron: End-To-End Learning and Planning ICML 2017 Thinking Fast and Slow with Deep Learning and Tree Search NeurIPS 2017 Thompson Sampling for Linear-Quadratic Control Problems AISTATS 2017 Towards Generalization and Simplicity in Continuous Control NeurIPS 2017 Transfer Learning in Multi-Armed Bandits: A Causal Approach IJCAI 2017 Uncertainty-driven Imagination for Continuous Deep Reinforcement Learning CoRL 2017 Underactuated tendon-driven robotic/prosthetic hands: design issues RSS 2017 Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning NeurIPS 2017 Unifying Task Specification in Reinforcement Learning ICML 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 Verifying Fault-tolerance in Parameterised Multi-Agent Systems IJCAI 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 Adaptive optimal training of animal behavior NeurIPS 2016 Addressing Environment Non-Stationarity by Repeating Q-learning Updates JMLR 2016 A Fast and Reliable Policy Improvement Algorithm AISTATS 2016 A forward model at Purkinje cell synapses facilitates cerebellar anticipatory control NeurIPS 2016