Boltzmann-based Exploration for Robust Decentralized Multi-Agent Planning | ScienceToStartup | ScienceToStartup

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References (15)

[1]

Decentralized Coordination for Multi-Agent Data Collection in Dynamic Environments

2024Nhat Nguyen, Duong Nguyen et al.

[2]

United We Stand: Decentralized Multi-Agent Planning With Attrition

2024Nhat Nguyen, Duong Nguyen et al.

[3]

Monte Carlo Tree Search with Boltzmann Exploration

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"Develop a robust multi-agent planning tool using CB-MCTS that improves performance in sparse reward environments."

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Boltzmann-based Exploration for Robust Decentralized Multi-Agent Planning

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References (15)

Founder's Pitch

"Develop a robust multi-agent planning tool using CB-MCTS that improves performance in sparse reward environments."

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Boltzmann-based Exploration for Robust Decentralized Multi-Agent Planning

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References (15)

Founder's Pitch

"Develop a robust multi-agent planning tool using CB-MCTS that improves performance in sparse reward environments."

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