option learning

InnateCoder: Learning Programmatic Options with Foundation Models IJCAI 2025 Hierarchical Planning and Learning for Robots in Stochastic Settings Using Zero-Shot Option Invention AAAI 2024 Learning Generalizable and Composable Abstractions for Transfer in Reinforcement Learning AAAI 2024 Bayesian Nonparametrics for Offline Skill Discovery ICML 2022 Context-Specific Representation Abstraction for Deep Option Learning AAAI 2022 OAM: An Option-Action Reinforcement Learning Framework for Universal Multi-Intersection Control AAAI 2022 Abstract Value Iteration for Hierarchical Reinforcement Learning AISTATS 2021 An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning NeurIPS 2021 Data-efficient Hindsight Off-policy Option Learning ICML 2021 Robustly Learning Composable Options in Deep Reinforcement Learning IJCAI 2021 Unsupervised Skill Discovery with Bottleneck Option Learning ICML 2021 Efficient Deep Reinforcement Learning via Adaptive Policy Transfer IJCAI 2020 Multitask Soft Option Learning UAI 2020 On the Role of Weight Sharing During Deep Option Learning AAAI 2020 Learning Options with Interest Functions AAAI 2019 Learning Abstract Options NeurIPS 2018