Impact of Markov Decision Process Design on Sim-to-Real Reinforcement Learning
Impact of Markov Decision Process Design on Sim-to-Real Reinforcement Learning explores This research provides practical guidelines for designing Markov Decision Processes to improve the sim-to-real transfer in reinforcement learning applications.. Commercial viability score: 7/10 in Reinforcement Learning.
Updated 2 days ago
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