Trajectories

Jointly learning rewards and policies: an iterative Inverse Reinforcement Learning framework with ranked synthetic trajectories

2.1 Apprenticeship Learning:A seminal method to learn from expert demonstrations is Apprenticeship learning, first introduced in . Unlike pure Inverse Reinforcement Learning, the target here is to each to search out the optimal reward...

Modern Bio-Inspired Sensor Detects Motion and Predicts Trajectories for Various Applications

Researchers at Aalto University have developed an progressive bio-inspired sensor that may detect moving objects in a single video frame and accurately predict their future movements. Described in a paper, this advanced sensor...

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