optimal

MIT researchers present a machine learning framework that allows cooperative or competitive AI agents to find a long-term optimal solution

MIT researchers present a machine learning framework that allows cooperative or competitive AI agents to find a long-term optimal solution

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Reinforcement learning is a method of machine learning in which an artificial agent learns from its mistakes. The agent receives a reward from the researchers when its “positive” actions lead to the desired result. Expert-level performance is achieved when the agent modifies actions to maximize a reward. “Multi-agent reinforcement learning” involves multiple agents working together …

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Chung-Ang University researchers develop an algorithm for optimal decision-making with heavy-tailed noisy rewards - insideBIGDATA

Chung-Ang University researchers develop an algorithm for optimal decision-making with heavy-tailed noisy rewards – insideBIGDATA

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Researchers propose methods that theoretically guarantee minimal loss for worst-case scenarios with minimal prior information for heavy-tailed reward distributions Exploration algorithms for stochastic multi-armed bandits (MAB) – sequential decision-making problems in uncertain environments – generally assume light-tailed distributions for reward noises. However, real-world datasets often display heavy-tailed noise. In light of this, Korean researchers propose …

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