Search Results for author: Nam Hee Kim

Found 3 papers, 2 papers with code

Understanding the Evolution of Linear Regions in Deep Reinforcement Learning

1 code implementation24 Oct 2022 Setareh Cohan, Nam Hee Kim, David Rolnick, Michiel Van de Panne

Empirically, we find that the region density increases only moderately throughout training, as measured along fixed trajectories coming from the final policy.

Continuous Control reinforcement-learning +1

ALLSTEPS: Curriculum-driven Learning of Stepping Stone Skills

1 code implementation9 May 2020 Zhaoming Xie, Hung Yu Ling, Nam Hee Kim, Michiel Van de Panne

Humans are highly adept at walking in environments with foot placement constraints, including stepping-stone scenarios where the footstep locations are fully constrained.

reinforcement-learning Reinforcement Learning (RL)

Learning to Correspond Dynamical Systems

no code implementations L4DC 2020 Nam Hee Kim, Zhaoming Xie, Michiel Van de Panne

Many dynamical systems exhibit similar structure, as often captured by hand-designed simplified models that can be used for analysis and control.

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