sample efficiency

Principled Exploration via Optimistic Bootstrapping and Backward Induction ICML 2021 Prioritized Level Replay ICML 2021 Projected GANs Converge Faster NeurIPS 2021 Provably Safe PAC-MDP Exploration Using Analogies AISTATS 2021 QPLEX: Duplex Dueling Multi-Agent Q-Learning ICLR 2021 Randomized Ensembled Double Q-Learning: Learning Fast Without a Model ICLR 2021 Reinforcement Learning with Latent Flow NeurIPS 2021 Return-Based Contrastive Representation Learning for Reinforcement Learning ICLR 2021 Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control ACML 2021 Sample-Efficient Automated Deep Reinforcement Learning ICLR 2021 Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model NeurIPS 2021 Sample Efficient Reinforcement Learning with REINFORCE AAAI 2021 Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing ICML 2021 SCRIPT: Self-Critic PreTraining of Transformers NAACL 2021 Self-Paced Context Evaluation for Contextual Reinforcement Learning ICML 2021 Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks ICML 2021 SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks EMNLP 2021 Solving Continuous Control with Episodic Memory IJCAI 2021 Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient ICML 2021 Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation NeurIPS 2021 Stochastic Policy Optimization with Heuristic Information for Robot Learning CoRL 2021 Strategically efficient exploration in competitive multi-agent reinforcement learning UAI 2021 TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL AAAI 2021 Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning ICML 2021 Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation AAAI 2021