2 papers
cs.LG2025
Inversely Learning Transferable Rewards via Abstracted States
Yikang Gui, Prashant Doshi
Inverse reinforcement learning (IRL) has progressed significantly toward accurately learning the underlying rewards in both discrete and continuous domains from behavior data. The…
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…