temporal abstraction

Context-Specific Representation Abstraction for Deep Option Learning AAAI 2022 DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning NeurIPS 2022 Disentangling Controlled Effects for Hierarchical Reinforcement Learning CLeaR 2022 Option Transfer and SMDP Abstraction with Successor Features IJCAI 2022 Reinforcement Learning with Option Machines IJCAI 2022 Skill-based Model-based Reinforcement Learning CoRL 2022 Augmenting Policy Learning with Routines Discovered from a Single Demonstration AAAI 2021 Average-Reward Learning and Planning with Options NeurIPS 2021 Clockwork Variational Autoencoders NeurIPS 2021 Complete Closed Time Intervals-Related Patterns Mining AAAI 2021 Data-efficient Hindsight Off-policy Option Learning ICML 2021 Deep Reinforcement Learning with Hierarchical Structures IJCAI 2021 Discovery of Options via Meta-Learned Subgoals NeurIPS 2021 Flexible Option Learning NeurIPS 2021 Goal-Conditioned Reinforcement Learning with Imagined Subgoals ICML 2021 Hierarchical Reinforcement Learning with Timed Subgoals NeurIPS 2021 OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning ICLR 2021 Shaping embodied agent behavior with activity-context priors from egocentric video NeurIPS 2021 SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition NeurIPS 2021 TAAC: Temporally Abstract Actor-Critic for Continuous Control NeurIPS 2021 Temporally Abstract Partial Models NeurIPS 2021 Gamma-Nets: Generalizing Value Estimation over Timescale AAAI 2020 Hierarchical Average Reward Policy Gradient Algorithms (Student Abstract) AAAI 2020 On the Role of Weight Sharing During Deep Option Learning AAAI 2020 Option Discovery in the Absence of Rewards with Manifold Analysis ICML 2020