reward shaping

Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward Shaping NeurIPS 2022 Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse Rewards NeurIPS 2022 Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks CoRL 2022 Improving Policy Learning via Language Dynamics Distillation NeurIPS 2022 Individual Reward Assisted Multi-Agent Reinforcement Learning ICML 2022 Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping CoRL 2022 Multi-Agent Reinforcement Learning Controller to Maximize Energy Efficiency for Multi-Generator Industrial Wave Energy Converter AAAI 2022 Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering EMNLP 2022 Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward CoRL 2022 Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity NeurIPS 2022 Contingency-aware influence maximization: A reinforcement learning approach UAI 2021 Dynamic Automaton-Guided Reward Shaping for Monte Carlo Tree Search AAAI 2021 ELLA: Exploration through Learned Language Abstraction NeurIPS 2021 Explicable Reward Design for Reinforcement Learning Agents NeurIPS 2021 Heuristic-Guided Reinforcement Learning NeurIPS 2021 Learning Task-Distribution Reward Shaping with Meta-Learning AAAI 2021 Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning ICML 2021 Rewards with Negative Examples for Reinforced Topic-Focused Abstractive Summarization EMNLP 2021 Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks AAAI 2021 Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing ICML 2021 Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning NeurIPS 2021 Accelerating Ranking in E-Commerce Search Engines through Contextual Factor Selection AAAI 2020 A Multi-Objective Approach to Mitigate Negative Side Effects IJCAI 2020 Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery ICLR 2020 Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination ICML 2020