1 citations · 2 across the 3 of their papers we have counts for
4 papers
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…
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…
Out-of-Distribution Adaptation in Offline RL: Counterfactual Reasoning via Causal Normalizing Flows
Minjae Cho, Jonathan P. How, Chuangchuang Sun
Despite notable successes of Reinforcement Learning (RL), the prevalent use of an online learning paradigm prevents its widespread adoption, especially in hazardous or costly scena…
Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming
Minjae Cho, Chuangchuang Sun
Despite remarkable achievements in artificial intelligence, the deployability of learning-enabled systems in high-stakes real-world environments still faces persistent challenges.…