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Nat Dilokthanakul

3 accepted papers

2024

Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners

NeurIPS 2024poster

Partner diversity is known to be crucial for training a robust generalist cooperative agent. In this paper, we show that partner specialization, in addition to diversity, is crucial for the robustness of a downstream generalist agent. We propose a principled method for quantifying both the diversity…

Cited by 1SourcePDFScholar
2023

Generating Diverse Cooperative Agents by Learning Incompatible Policies

ICLR 2023top-25%

Training a robust cooperative agent requires diverse partner agents. However, obtaining those agents is difficult. Previous works aim to learn diverse behaviors by changing the state-action distribution of agents. But, without information about the task's goal, the diversified agents are not guided…

Cited by 34SourcePDFScholar
2022

GRAB: GRAdient-Based Shape-Adaptive Locomotion Control

RA-L 2022

Adaptive systems enable legged robots to cope with a wide range of environmental settings and unforeseen events. Existing reactive methods adapt either the walking frequency or the amplitude to only simple perturbations. This letter proposes an adaptive mechanism for central pattern generator (CPG)-

Cited by 1SourceScholar