首页|Data on Robotics Described by Researchers at University of Groningen (Reinforcem ent Learning In Robotic Motion Planning By Combined-based and Self-imitation)
Data on Robotics Described by Researchers at University of Groningen (Reinforcem ent Learning In Robotic Motion Planning By Combined-based and Self-imitation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ro botics. According to news reporting out of Groningen, Netherlands, by NewsRx edi tors, research stated, “High-quality and representative data is essential for bo th Imitation Learning (IL)-and Reinforcement Learning (RL)-based motion planning tasks. For real robots, it is challenging to collect enough qualified data eith er as demonstrations for IL or experiences for RL due to safety consideration in environments with obstacles.”
GroningenNetherlandsEuropeEmerging TechnologiesMachine LearningNano-robotReinforcement LearningRoboticsRobotsUniversity of Groningen
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