sample efficiency

Reinforcement Learning with Videos: Combining Offline Observations with Interaction CoRL 2020 Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining NeurIPS 2020 Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning ICML 2020 Sequential Cooperative Bayesian Inference ICML 2020 Sharing Knowledge in Multi-Task Deep Reinforcement Learning ICLR 2020 Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling ICML 2020 Task-agnostic Exploration in Reinforcement Learning NeurIPS 2020 TaylorGAN: Neighbor-Augmented Policy Update Towards Sample-Efficient Natural Language Generation NeurIPS 2020 The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning NeurIPS 2020 Time-Reversal Symmetric ODE Network NeurIPS 2020 Towards High-Level Intrinsic Exploration in Reinforcement Learning IJCAI 2020 Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents AAAI 2020 Working Memory Graphs ICML 2020 AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers CoRL 2019 Addressing Sample Complexity in Visual Tasks Using HER and Hallucinatory GANs NeurIPS 2019 A New Perspective on Pool-Based Active Classification and False-Discovery Control NeurIPS 2019 Asynchronous Methods for Model-Based Reinforcement Learning CoRL 2019 Autoregressive Policies for Continuous Control Deep Reinforcement Learning IJCAI 2019 BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning ICLR 2019 Better Exploration with Optimistic Actor Critic NeurIPS 2019 Calibrated Model-Based Deep Reinforcement Learning ICML 2019 CEM-RL: Combining evolutionary and gradient-based methods for policy search ICLR 2019 Collaborative Evolutionary Reinforcement Learning ICML 2019 Control What You Can: Intrinsically Motivated Task-Planning Agent NeurIPS 2019 Data Efficient Reinforcement Learning for Legged Robots CoRL 2019