temporal abstraction

Beyond Single-Speed Reasoning: Coordinating Fast and Slow Dynamics for Efficient World Modeling AAAI 2026 Extendable Planning via Multiscale Diffusion AAAI 2026 Discovering Options That Minimize Average Planning Time AAAI 2025 InnateCoder: Learning Programmatic Options with Foundation Models IJCAI 2025 Representation-driven Option Discovery in Reinforcement Learning AAAI 2025 Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction ICLR 2025 Semantic Temporal Abstraction via Vision-Language Model Guidance for Efficient Reinforcement Learning ICLR 2025 Variational Offline Multi-agent Skill Discovery IJCAI 2025 Efficient Planning with Latent Diffusion ICLR 2024 Goal-Space Planning with Subgoal Models JMLR 2024 Increasing information for model predictive control with semi-Markov decision processes L4DC 2024 Learning Generalizable and Composable Abstractions for Transfer in Reinforcement Learning AAAI 2024 Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics ICLR 2024 Learning Uncertainty-Aware Temporally-Extended Actions AAAI 2024 Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning ICLR 2024 Reconciling Spatial and Temporal Abstractions for Goal Representation ICLR 2024 Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint) AAAI 2024 When Do Skills Help Reinforcement Learning? A Theoretical Analysis of Temporal Abstractions ICML 2024 Creating Multi-Level Skill Hierarchies in Reinforcement Learning NeurIPS 2023 Improving Long-Horizon Imitation through Instruction Prediction AAAI 2023 Learning Temporally AbstractWorld Models without Online Experimentation ICML 2023 Multi Time Scale World Models NeurIPS 2023 Provable Hierarchy-Based Meta-Reinforcement Learning AISTATS 2023 Sample Complexity of Goal-Conditioned Hierarchical Reinforcement Learning NeurIPS 2023 Temporal Abstraction in Reinforcement Learning with the Successor Representation JMLR 2023