option framework

Hierarchical Programmatic Option Framework NeurIPS 2024 A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process NeurIPS 2023 HiT-MDP: Learning the SMDP option framework on MDPs with Hidden Temporal Embeddings ICLR 2023 LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework ICML 2023 Provably (More) Sample-Efficient Offline RL with Options NeurIPS 2023 Adversarial Option-Aware Hierarchical Imitation Learning ICML 2021 Average-Reward Learning and Planning with Options NeurIPS 2021 Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue System ICLR 2021 Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach AAAI 2020 ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search AAAI 2019 DAC: The Double Actor-Critic Architecture for Learning Options NeurIPS 2019 Logic-Based Sequential Decision-Making AAAI 2019 Per-Decision Option Discounting ICML 2019 Playing FPS Games With Environment-Aware Hierarchical Reinforcement Learning IJCAI 2019 The Termination Critic AISTATS 2019 Exploration-Exploitation in MDPs with Options AISTATS 2017 Regret Minimization in MDPs with Options without Prior Knowledge NeurIPS 2017 Using Options and Covariance Testing for Long Horizon Off-Policy Policy Evaluation NeurIPS 2017 Adaptive Skills Adaptive Partitions (ASAP) NeurIPS 2016 Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations ICML 2014 Time-Regularized Interrupting Options (TRIO) ICML 2014