Online World Modeling Enables Real-World Inverse Reinforcement Learning from Observation

Tyler Han, Bat Nemekhbold, Siyang Shen +6

Current methods in robot learning are fundamentally bottlenecked by one or more of: hand-designed rewards, simulation modeling, or action supervision (e.g. teleoperation) each requ…