sample efficiency

Learning by Asking Questions CVPR 2018 Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations RSS 2018 Learning to Explore via Meta-Policy Gradient ICML 2018 Reinforcement Learning on Web Interfaces using Workflow-Guided Exploration ICLR 2018 Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control ICML 2018 Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion NeurIPS 2018 Simple random search of static linear policies is competitive for reinforcement learning NeurIPS 2018 Structured Control Nets for Deep Reinforcement Learning ICML 2018 The Mirage of Action-Dependent Baselines in Reinforcement Learning ICML 2018 The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning ICLR 2018 Towards Sample Efficient Reinforcement Learning IJCAI 2018 Trust-PCL: An Off-Policy Trust Region Method for Continuous Control ICLR 2018 Visual Reinforcement Learning with Imagined Goals NeurIPS 2018 Deep Kernels for Optimizing Locomotion Controllers CoRL 2017 Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning NeurIPS 2017 Local Bayesian Optimization of Motor Skills ICML 2017 Neural Episodic Control ICML 2017 Sample Efficient Policy Search for Optimal Stopping Domains IJCAI 2017 Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization ICML 2016 Spectral M-estimation with Applications to Hidden Markov Models AISTATS 2016 Tagger: Deep Unsupervised Perceptual Grouping NeurIPS 2016 Off-policy Model-based Learning under Unknown Factored Dynamics ICML 2015 A Physics-Based Model Prior for Object-Oriented MDPs ICML 2014 BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits JMLR 2014 Online Multi-Task Learning for Policy Gradient Methods ICML 2014