Zobrazeno 1 - 4
of 4
pro vyhledávání: '"MacQueen, Revan"'
Autor:
MacQueen, Revan, Wright, James R.
Self-play is a technique for machine learning in multi-agent systems where a learning algorithm learns by interacting with copies of itself. Self-play is useful for generating large quantities of data for learning, but has the drawback that the agent
Externí odkaz:
http://arxiv.org/abs/2310.11518
Autor:
MacQueen, Revan
We give a simple proof of the well-known result that the marginal strategies of a coarse correlated equilibrium form a Nash equilibrium in two-player zero-sum games. A corollary of this fact is that no-external-regret learning algorithms that converg
Externí odkaz:
http://arxiv.org/abs/2304.07187
Malware attacks are costly. To mitigate against such attacks, organizations deploy malware detection tools that help them detect and eventually resolve those threats. While running only the best available tool does not provide enough coverage of the
Externí odkaz:
http://arxiv.org/abs/2012.00817
Autor:
MacQueen, Revan
We give a simple proof of the well-known result that the marginal strategies of a coarse correlated equilibrium form a Nash equilibrium in two-player zero-sum games. A corollary of this fact is that no-external-regret learning algorithms that converg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05f0675b973d1458181521cff73e008e
http://arxiv.org/abs/2304.07187
http://arxiv.org/abs/2304.07187