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cs.LG2024★ 1 cited
Hierarchical Meta-Reinforcement Learning via Automated Macro-Action Discovery
Minjae Cho, Chuangchuang Sun
Meta-Reinforcement Learning (Meta-RL) enables fast adaptation to new testing tasks. Despite recent advancements, it is still challenging to learn performant policies across multipl…
cs.LG2024
Sparsity-based Safety Conservatism for Constrained Offline Reinforcement Learning
Minjae Cho, Chuangchuang Sun
Reinforcement Learning (RL) has made notable success in decision-making fields like autonomous driving and robotic manipulation. Yet, its reliance on real-time feedback poses chall…
cs.LG2023
Distributionally Safe Reinforcement Learning under Model Uncertainty: A Single-Level Approach by Differentiable Convex Programming
Alaa Eddine Chriat, Chuangchuang Sun
Safety assurance is uncompromisable for safety-critical environments with the presence of drastic model uncertainties (e.g., distributional shift), especially with humans in the lo…