2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.LG2020★ 2 cited
Maximum Entropy Multi-Task Inverse RL
Saurabh Arora, Bikramjit Banerjee, Prashant Doshi
Multi-task IRL allows for the possibility that the expert could be switching between multiple ways of solving the same problem, or interleaving demonstrations of multiple tasks. Th…
cs.LG2018
A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress
Saurabh Arora, Prashant Doshi
Inverse reinforcement learning (IRL) is the problem of inferring the reward function of an agent, given its policy or observed behavior. Analogous to RL, IRL is perceived both as a…
cs.LG2018
A Framework and Method for Online Inverse Reinforcement Learning
Saurabh Arora, Prashant Doshi, Bikramjit Banerjee
Inverse reinforcement learning (IRL) is the problem of learning the preferences of an agent from the observations of its behavior on a task. While this problem has been well invest…