TAVT improves OOD task generalization in meta-RL by preserving task characteristics in virtual tasks via metric learning and using state regularization.
Meta-reinforcement learning robust to distributional shift via model identification and experience relabeling
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.LG 2years
2025 2verdicts
UNVERDICTED 2representative citing papers
SISL adds self-improving decoupled policies and return-based prioritization to skill-based meta-RL to achieve stable adaptation from noisy demonstrations on long-horizon tasks.
citing papers explorer
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Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution Tasks
TAVT improves OOD task generalization in meta-RL by preserving task characteristics in virtual tasks via metric learning and using state regularization.
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Self-Improving Skill Learning for Robust Skill-based Meta-Reinforcement Learning
SISL adds self-improving decoupled policies and return-based prioritization to skill-based meta-RL to achieve stable adaptation from noisy demonstrations on long-horizon tasks.