sparse reward

Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks AAAI 2023 Successor-Predecessor Intrinsic Exploration NeurIPS 2023 The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications AAAI 2023 Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution ICML 2022 A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning ICML 2022 Backprop-Free Reinforcement Learning with Active Neural Generative Coding AAAI 2022 CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations NeurIPS 2022 Coarse-To-Fine Q-Attention: Efficient Learning for Visual Robotic Manipulation via Discretisation CVPR 2022 Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching ICLR 2022 EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL NeurIPS 2022 EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning ICML 2022 Efficient and Stable Off-policy Training via Behavior-aware Evolutionary Learning CoRL 2022 Efficient (Soft) Q-Learning for Text Generation with Limited Good Data EMNLP 2022 Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments NeurIPS 2022 Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse Rewards NeurIPS 2022 Exploring with Sticky Mittens: Reinforcement Learning with Expert Interventions via Option Templates CoRL 2022 Goal-Directed Planning via Hindsight Experience Replay ICLR 2022 HTRON: Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed Adaptive Reinforce Algorithm CoRL 2022 Information Prioritization through Empowerment in Visual Model-based RL ICLR 2022 Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks AAAI 2022 Learning Long-Term Reward Redistribution via Randomized Return Decomposition ICLR 2022 LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward NeurIPS 2022 LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning ICLR 2022 MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer ICML 2022 Monte Carlo Augmented Actor-Critic for Sparse Reward Deep Reinforcement Learning from Suboptimal Demonstrations NeurIPS 2022