Robotics & Machine Learning Daily News2024,Issue(Sep.6) :84-85.

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)

Robotics & Machine Learning Daily News2024,Issue(Sep.6) :84-85.

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)

扫码查看

Abstract

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.”

Key words

University of Toronto/Computation/Emer ging Technologies/Machine Learning/Neural Computation/Reinforcement Learning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文