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cs.RO2024
Advancing The Robotics Software Development Experience: Bridging Julia's Performance and Python's Ecosystem
Gustavo Nunes Goretkin, Joseph Carpinelli, Andy Park
Robotics programming typically involves a trade-off between the ease of use offered by Python and the run-time performance of C++. While multi-language architectures address this t…
cs.RO2016★ 5 cited
Density Matching Reward Learning
Sungjoon Choi, Kyungjae Lee, Andy Park +1
In this paper, we focus on the problem of inferring the underlying reward function of an expert given demonstrations, which is often referred to as inverse reinforcement learning (…