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Jakob N. Foerster


Learning to Communicate with Deep Multi-Agent Reinforcement ...

Foerster, Jakob N. ;; Assael, Yannis M. ;; de Freitas, Nando; ;; Whiteson, Shimon. Abstract. We consider the problem of multiple agents sensing and acting in ...

Deep Multi Agent Reinforcement Learning for Autonomous Driving

Jakob N. Foerster, Nantas Nardelli, Gregory Farquhar, Triantafyllos Afouras, Philip H. S. Torr, Pushmeet Kohli, Shimon Whiteson. 2017 ...

Monotonic value function factorisation for deep multi-agent ...

Nolan Bard, Jakob N. Foerster, Sarath Chandar, Neil Burch, Marc Lanctot, H. Francis Song, Emilio Parisotto, Vincent Dumoulin, Subhodeep Moitra, Edward ...

0000-0001-9688-2498 - ORCID

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facebookresearch/hanabi_SAD: Simplified Action Decoder ... - GitHub

... Jakob N Foerster}, booktitle={International Conference on Learning Representations}, year={2020}, url={https://openreview.net/forum?id ...

Jakob Foerster - YouTube

Machine Learning and Artificial Intelligence are talked about a lot in the press. Yet they are rarely taught as part of undergraduate courses or in high school.

Multi-agent common knowledge reinforcement learning

Multi-agent common knowledge reinforcement learning. Christian A. Schroeder de Witt*, Jakob N. Foerster, Gregory Farquhar, Philip H.S. Torr, Wendelin Böhmer ...

Nolan Bard, Jakob N. Foerster, Sarath Chandar, Neil ... - PhilPapers

The Hanabi challenge: A new frontier for AI research · Nolan Bard, Jakob N. Foerster, Sarath Chandar, Neil Burch, Marc Lanctot, H. Francis Song, Emilio ...

Jacob Beck | OpenReview

An Investigation of the Bias-Variance Tradeoff in Meta-Gradients · Risto Vuorio, Jacob Beck, Shimon Whiteson, Jakob N. ... Jakob Nicolaus Foerster · Jerome ...

Papers by Jakob Foerster - AIModels.fyi

... N selection. STICK self-refinement on LiveBench reasoning tasks leads to an absolute gain of $+$7.8%, whilst Best-of-N selection with STICK attains $+$6.3 ...

Learning with Opponent-Learning Awareness - NASA/ADS

Foerster, Jakob N. ;; Chen, Richard Y. ;; Al-Shedivat, Maruan; ;; Whiteson, Shimon; ;; Abbeel, Pieter; ;; Mordatch, Igor. Abstract. Multi-agent settings are ...

A collaboration of multi-agent model using an interactive interface

Jakob N Foerster, Yannis M Assael, Nando De Freitas, and Shimon Whiteson. Learning to communicate with deep multi-agent reinforcement learning. arXiv ...

Gregory Farquhar - dblp

https://dblp.org/rec/journals/corr/abs-2209-11303 · Risto Vuorio, Jacob Beck, Shimon Whiteson, Jakob N. Foerster, Gregory Farquhar: An ...

Off-Policy Correction For Multi-Agent Reinforcement Learning

Jakob N. Foerster, and Shimon Whiteson. 2018. QMIX: Monotonic Value Function. Factorisation for Deep Multi-Agent Reinforcement Learning. In ...

Learning to Communicate with Deep Multi-Agent Reinforcement ...

... Jakob Foerster is a PhD student in AI at the University of Oxford under the supervision of Shimon Whiteson and Nando de Freitas. Using deep ...

Opponent-Shaping and Interface in General-Sum Games - SlidesLive

Speakers. JNF · Jakob N. Foerster. Speaker · 0 followers. Follow. Show more. Show less. Organizer. N2. NeurIPS 2022. Account · 90 followers.

Multi-lingual agents through multi-headed neural networks

Jakob N. Foerster, Yannis M. Assael, Nando de Freitas, and Shimon Whiteson. Learning to communicate with deep multi-agent reinforcement ...

Influencing Long-Term Behavior in Multiagent Reinforcement Learning

Jonathan How; Dong-Ki Kim; Matthew Riemer; Miao Liu; Jakob N. Foerster; Michael Everett; Chuangchuang Sun; Gerald Tesauro. Published on. 12/04/2022.

Joint Action Learning for Multi-Agent Cooperation using Recurrent ...

Jakob N Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, and Shimon Whiteson. Counterfactual multi-agent policy gradients. In ...

Counterfactual Multi-Agent Policy Gradients

Jakob Foerster University of Oxford; Gregory Farquhar University of ... How to Cite. Foerster, J., Farquhar, G., Afouras, T., Nardelli, N., & ...