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sparse reward

141 papers

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Co-occurring keywords

reinforcement learning (4352) deep reinforcement learning (903) intrinsic reward (71) multi-agent reinforcement learning (538) reward shaping (110) sample efficiency (472) hindsight experience replay (18) exploration strategy (96) intrinsic motivation (52) imitation learning (744)

Papers

Backprop-Free Reinforcement Learning with Active Neural Generative Coding AAAI 2022
Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse Rewards NIPS 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
EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL NIPS 2022
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward NIPS 2022
A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning ICML 2022
Coarse-To-Fine Q-Attention: Efficient Learning for Visual Robotic Manipulation via Discretisation CVPR 2022
Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks AAAI 2022
Exploring with Sticky Mittens: Reinforcement Learning with Expert Interventions via Option Templates CORL 2022
Monte Carlo Augmented Actor-Critic for Sparse Reward Deep Reinforcement Learning from Suboptimal Demonstrations NIPS 2022
Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments NIPS 2022
EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning ICML 2022
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer ICML 2022
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning ICML 2022
Explicable Reward Design for Reinforcement Learning Agents NIPS 2021
Robustly Learning Composable Options in Deep Reinforcement Learning IJCAI 2021
Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment IJCAI 2021
Don’t Do What Doesn’t Matter: Intrinsic Motivation with Action Usefulness IJCAI 2021
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards ICML 2021
Guided Exploration with Proximal Policy Optimization using a Single Demonstration ICML 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning ICML 2021
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks ICML 2021
MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration ICML 2021
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning ICML 2021