Home /Research /Combination of learning from non-optimal demonstrations and feedbacks using inverse reinforcement learning and Bayesian policy improvement

LEARNING

Combination of learning from non-optimal demonstrations and feedbacks using inverse reinforcement learning and Bayesian policy improvement

Ali Ezzeddine, Nafee Mourad, Babak Nadjar Araabi, Majid Nili Ahmadabadi

Year: 2018
Citations: 12

Keywords

Computer scienceReinforcement learningTrainerTask (project management)Probabilistic logicArtificial intelligenceProcess (computing)Bayesian probabilityMachine learningHuman–computer interaction

Combination of learning from non-optimal demonstrations and feedbacks using inverse reinforcement learning and Bayesian policy improvement

Keywords

Related papers

Statistical Learning Theory

Artificial intelligence: a modern approach

Applied Nonlinear Control

A new optimizer using particle swarm theory