Search Results for author: Joshua Hoffman

Found 2 papers, 0 papers with code

Macro-Action-Based Deep Multi-Agent Reinforcement Learning

no code implementations18 Apr 2020 Yuchen Xiao, Joshua Hoffman, Christopher Amato

In real-world multi-robot systems, performing high-quality, collaborative behaviors requires robots to asynchronously reason about high-level action selection at varying time durations.

Decision Making Decision Making Under Uncertainty +3

Learning Multi-Robot Decentralized Macro-Action-Based Policies via a Centralized Q-Net

no code implementations19 Sep 2019 Yuchen Xiao, Joshua Hoffman, Tian Xia, Christopher Amato

In many real-world multi-robot tasks, high-quality solutions often require a team of robots to perform asynchronous actions under decentralized control.

Multi-agent Reinforcement Learning

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