sample efficiency

Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update NeurIPS 2019 Sample-Efficient Imitation Learning via Generative Adversarial Nets AISTATS 2019 Scalable Global Optimization via Local Bayesian Optimization NeurIPS 2019 Self-Paced Contextual Reinforcement Learning CoRL 2019 Self-Supervised Mixture-of-Experts by Uncertainty Estimation AAAI 2019 Supervised Policy Update for Deep Reinforcement Learning ICLR 2019 Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning AAAI 2019 Truly Proximal Policy Optimization UAI 2019 Using Natural Language for Reward Shaping in Reinforcement Learning IJCAI 2019 Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots JMLR 2019 Visceral Machines: Risk-Aversion in Reinforcement Learning with Intrinsic Physiological Rewards ICLR 2019 When to Trust Your Model: Model-Based Policy Optimization NeurIPS 2019 A Bayesian Approach to Generative Adversarial Imitation Learning NeurIPS 2018 An Inference-Based Policy Gradient Method for Learning Options ICML 2018 Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari IJCAI 2018 Data-Efficient Hierarchical Reinforcement Learning NeurIPS 2018 Deep Active Learning for Named Entity Recognition ICLR 2018 Deep Learning Under Privileged Information Using Heteroscedastic Dropout CVPR 2018 Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models NeurIPS 2018 Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation ICML 2018 Energy-Based Hindsight Experience Prioritization CoRL 2018 Episodic Memory Deep Q-Networks IJCAI 2018 Genetic-Gated Networks for Deep Reinforcement Learning NeurIPS 2018 Geometrically Coupled Monte Carlo Sampling NeurIPS 2018 Is Q-Learning Provably Efficient? NeurIPS 2018