Temporal Transfer Learning selects source tasks for zero-shot transfer of RL policies to solve a range of coarse-grained advisory autonomy hold durations in traffic optimization more reliably than baselines.
Inter-Level Cooperation in Hierarchical Reinforcement Learning
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The paper formulates a two-level optimization scheme integrating control, classical planning, and reinforcement learning to improve safety and interpretability in autonomous systems.
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Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy
Temporal Transfer Learning selects source tasks for zero-shot transfer of RL policies to solve a range of coarse-grained advisory autonomy hold durations in traffic optimization more reliably than baselines.
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Mission-Aligned Learning-Informed Control of Autonomous Systems: Formulation and Foundations
The paper formulates a two-level optimization scheme integrating control, classical planning, and reinforcement learning to improve safety and interpretability in autonomous systems.