1 citations · 1 across the 6 of their papers we have counts for
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Risk-Sensitive Orbital Debris Collision Avoidance using Distributionally Robust Chance Constraints
Kanghyun Ryu, Jean-Baptiste Bouvier, Shazaib Lalani +2
The exponential increase in orbital debris and active satellites will lead to congested orbits, necessitating more frequent collision avoidance maneuvers by satellites. To minimize…
CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models
Kanghyun Ryu, Qiayuan Liao, Zhongyu Li +3
Curriculum learning is a training mechanism in reinforcement learning (RL) that facilitates the achievement of complex policies by progressively increasing the task difficulty duri…
Adaptive Teaching in Heterogeneous Agents: Balancing Surprise in Sparse Reward Scenarios
Emma Clark, Kanghyun Ryu, Negar Mehr
Learning from Demonstration (LfD) can be an efficient way to train systems with analogous agents by enabling ``Student'' agents to learn from the demonstrations of the most experie…