4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2023
A Novel Variational Lower Bound for Inverse Reinforcement Learning
Yikang Gui, Prashant Doshi
Inverse reinforcement learning (IRL) seeks to learn the reward function from expert trajectories, to understand the task for imitation or collaboration thereby removing the need fo…
cs.LG2022★ 1 cited
IRL with Partial Observations using the Principle of Uncertain Maximum Entropy
Kenneth Bogert, Yikang Gui, Prashant Doshi
The principle of maximum entropy is a broadly applicable technique for computing a distribution with the least amount of information possible while constrained to match empirically…
cs.RO2021★ 4 cited
Energy-Aware Multi-Robot Task Allocation in Persistent Tasks
Ehsan Latif, Yikang Gui, Aiman Munir +1
The applicability of the swarm robots to perform foraging tasks is inspired by their compact size and cost. A considerable amount of energy is required to perform such tasks, espec…