首页|New Findings in Neural Computation Described from University of Toronto (Active Inference and Reinforcement Learning: A Unified Inference on Continuous State an d Action Spaces under Partial Observability)
New Findings in Neural Computation Described from University of Toronto (Active Inference and Reinforcement Learning: A Unified Inference on Continuous State an d Action Spaces under Partial Observability)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News ; Research findings on neural computatio n are discussed in a new report. According tonews originating from the Universi ty of Toronto by NewsRx editors, the research stated, “Reinforcementlearning (R L) has garnered significant attention for developing decision-making agents that aim to maximizerewards, specified by an external supervisor, within fully obse rvable environments. However, many realworldproblems involve partial or noisy observations, where agents cannot access complete and accurateinformation about the environment.”
University of TorontoComputationEmer ging TechnologiesMachine LearningNeural ComputationReinforcement Learning
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