首页|Reports from Okayama University Add New Study Findings to Research in Computatio nal Intelligence (Inverse Reinforcement Learning with Agents’ Biased Exploration Based on Sub-Optimal Sequential Action Data)

Reports from Okayama University Add New Study Findings to Research in Computatio nal Intelligence (Inverse Reinforcement Learning with Agents’ Biased Exploration Based on Sub-Optimal Sequential Action Data)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in computational intelligence. According to newsreporting from Okayama, Japan, by NewsRx journalists, research stated, “Inverse reinforcement learning(IRL) estim ates a reward function for an agent to behave along with expert data, e.g., as h uman operationdata.”

Okayama UniversityOkayamaJapanAsiaComputational IntelligenceEmerging TechnologiesMachine LearningReinforce ment Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.9)