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cs.RO2025
IPPO Learns the Game, Not the Team: A Study on Generalization in Heterogeneous Agent Teams
Ryan LeRoy, Jack Kolb
Multi-Agent Reinforcement Learning (MARL) is commonly deployed in settings where agents are trained via self-play with homogeneous teammates, often using parameter sharing and a si…
cs.RO2022
Evaluating the Effectiveness of Corrective Demonstrations and a Low-Cost Sensor for Dexterous Manipulation
Abhineet Jain, Jack Kolb, J. M. Abbess +1
Imitation learning is a promising approach to help robots acquire dexterous manipulation capabilities without the need for a carefully-designed reward or a significant computationa…