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Approximate Exploitability: Learning a Best Response.

, , , , , , , , и . IJCAI, стр. 3487-3493. ijcai.org, (2022)

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Stefanie Marczoch

Langzeitverlauf von 200 Patienten mit kraniofazialen und zervikalen Dystonien bis zu 12 Jahre nach der ersten Botulinumtoxin-Behandlung. TU München, (2009)

Hans-Peter Marchal

Erna Marcus

Friedrich Marcus

Paul March

 

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Computing Approximate Nash Equilibria and Robust Best-Responses Using Sampling, , и . Journal of Artificial Intelligence Research, (2011)A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning, , , , , , , и . (2017)cite arxiv:1711.00832Comment: Camera-ready copy of NIPS 2017 paper, including appendix.A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play, , , , , , , , , и 1 other автор(ы). Science, 362 (6419): 1140--1144 (2018)Online Monte Carlo Counterfactual Regret Minimization for Search in Imperfect Information Games., , и . AAMAS, стр. 27-36. ACM, (2015)Hindsight and Sequential Rationality of Correlated Play., , , , , , и . AAAI, стр. 5584-5594. AAAI Press, (2021)Neural Population Learning beyond Symmetric Zero-Sum Games., , , , , и . AAMAS, стр. 1247-1255. International Foundation for Autonomous Agents and Multiagent Systems / ACM, (2024)A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games., , , , , , , и . ICLR, OpenReview.net, (2023)Computing Approximate Nash Equilibria and Robust Best-Responses Using Sampling., , и . CoRR, (2014)Emergent Communication through Negotiation., , , , , и . ICLR (Poster), OpenReview.net, (2018)Dueling Network Architectures for Deep Reinforcement Learning., , , , , и . ICML, том 48 из JMLR Workshop and Conference Proceedings, стр. 1995-2003. JMLR.org, (2016)