Multi-robot inverse reinforcement learning under occlusion with interactions. - Kenneth D. Bogert; Prashant Doshi (AAMAS, 2014)

Multi-Robot Inverse Reinforcement Learning Under Occlusion with State Transition Estimation. - Kenneth D. Bogert; Prashant Doshi (AAMAS, 2015)

Aerial Robotic Simulations for Evaluation of Multi-Agent Planning in GaTAC. - Kenneth D. Bogert; Sina Solaimanpour; Prashant Doshi (AAMAS, 2015)

Toward Estimating Others' Transition Models Under Occlusion for Multi-Robot IRL. - Kenneth D. Bogert; Prashant Doshi (IJCAI, 2015)

Expectation-Maximization for Inverse Reinforcement Learning with Hidden Data. - Kenneth D. Bogert; Jonathan Feng-Shun Lin; Prashant Doshi; Dana Kulic (AAMAS, 2016)

Scaling Expectation-Maximization for Inverse Reinforcement Learning to Multiple Robots under Occlusion. - Kenneth D. Bogert; Prashant Doshi (AAMAS, 2017)

Multi-robot inverse reinforcement learning under occlusion with estimation of state transitions. - Kenneth D. Bogert; Prashant Doshi (Artif. Intell., 2018)

A Hierarchical Bayesian model for Inverse RL in Partially-Controlled Environments. - Kenneth D. Bogert; Prashant Doshi (CoRR, 2021)

A Hierarchical Bayesian Process for Inverse RL in Partially-Controlled Environments. - Kenneth D. Bogert; Prashant Doshi (AAMAS, 2022)

IRL with Partial Observations using the Principle of Uncertain Maximum Entropy. - Kenneth D. Bogert; Yikang Gui; Prashant Doshi (CoRR, 2022)