Audrow Nash - Profile and Journalist Details
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Audrow Nash
Verified
Podcast Director, Robohub
Los Angeles
Beats
I am always willing to explore my options. Never say NO to anything.
Content
Why do Policy Gradient Methods work so well in Cooperative MARL? Evidence from Policy Representation - Robohub
By Abate De Mey, Audrow Nash, Ahalya Ravendran, Lucy Smith| Robohub Verified In cooperative multi-agent reinforcement learning (MARL), due to its on-policy nature, policy gradient (PG) methods are typically believed to be less sample efficient than value decomposition (VD) methods, which are off-policy. However, some recent empirical studies demonstrate that with proper input representation and hyper-parameter tuning, multi-agent PG can achieve surprisingly strong performance compared to off-policy VD methods. Why could PG methods work so well?
By Abate De Mey, Audrow Nash, Ahalya Ravendran, Lucy Smith| Robohub Verified RoboCup 2022 kicked off yesterday, and there have already been lots of competitions within the various leagues. Many of these are livestreamed to YouTube, and the recordings are available for anyone to watch. Below are the links to the livestream (and recorded) channels for the leagues that have them. RoboCupSoccerStandard platformSmall size2D Simulation3D SimulationRoboCupIndustrialLogisticsRoboCupJuniorOnstageIn addition to these channels, there are also some stand-alone recordings.
Why do Policy Gradient Methods work so well in Cooperative MARL? Evidence from Policy Representation - Robohub
By Abate De Mey, Audrow Nash, Ahalya Ravendran, Lucy Smith| Robohub Verified In cooperative multi-agent reinforcement learning (MARL), due to its on-policy nature, policy gradient (PG) methods are typically believed to be less sample efficient than value decomposition (VD) methods, which are off-policy. However, some recent empirical studies demonstrate that with proper input representation and hyper-parameter tuning, multi-agent PG can achieve surprisingly strong performance compared to off-policy VD methods. Why could PG methods work so well?
Company Info
Robohub
Robohub is a non-profit online platform that connects experts in robotics research, startups, business, and education globally. Founded in 2011 by Sabine Hauert, it serves as a hub for sharing knowledge, news, and insights related to robotics and artificial intelligence. The platform offers various services to facilitate communication and collaboration within the robotics community. It publishes articles and interviews on the latest developments in robotics and AI, hosts the "Robot Talk" podcast series featuring discussions with experts, and provides educational resources for those interested in the field. Robohub also fosters community engagement by connecting researchers, startups, and businesses to promote collaboration and innovation in robotics.
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Founded: 2012