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Posts with #multiagentRL

#multiagentRL

Public posts on X that use #multiagentRL.

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  1. Jakob Foerster✓@j_foerst
    Here is @_chris_lu_ presenting M-FOS at today's #multiagentRL session at #ICML2022. Stop by our poster this evening in Hall E #825 if you'd like to find out more about how to learn in the presence of other learning agents (and potential pitfalls)!
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    Jakob Foerster @j_foerst
    General-sum games describe many scenarios, from negotiations to autonomous driving. How should an AI act in the presence of other learning agents? Our @icmlconf 2022 paper, “Model-Free Opponent Shaping”(M-FOS) approaches this as a meta-game. @_chris_lu_ @TimonWilli @casdewitt 🧵
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  2. Jakob Foerster✓@j_foerst
    General-sum games describe many scenarios, from negotiations to autonomous driving. How should an AI act in the presence of other learning agents? Our @icmlconf 2022 paper, “Model-Free Opponent Shaping”(M-FOS) approaches this as a meta-game. @_chris_lu_ @TimonWilli @casdewitt 🧵
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  3. Oleskii@InteractAIchats
    "Our paper shows how AI can model social norms, providing a path to create richer, more detailed simulations of the world. #AI #DeepLearning #MultiagentRL" Link: Follow for more!
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  4. Jakob Foerster✓@j_foerst
    This has been (and still is!) a long time in the making, but we are finally excited to share our progress in using #multiagentRL for #AgentBasedModelling in the area of fake news. Clearly it's still very early days but I believe that this is an important direction for future work
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  6. Xiyang Wu (On the Job Market)✓@wu_xiyang
    Join us at @corl_conf for the oral presentation on iPlan🤖: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning!
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  7. Xiyang Wu (On the Job Market)✓@wu_xiyang
    @wu_xiyang
    See us at 8:30 - 9:30 for the oral presentation and 12:00 - 12:45 for the poster session at #30 on Wednesday, Nov 8. 📎Paper: 🧑‍💻Code:
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  9. Kiran Ikram@KIkram91
    How do we teach embodied agents 🦁 🐯 to interact with each other, share information- or even lie to each other 👀 ?Our(@twitemp1 ,@EAlonso20 ,@MichaelGarciaO ) new paper, presented at @CVPR's Embodied AI workshop details a simulator built precisely for this purpose! @Cit_AI1 1/n
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  10. Kiran Ikram@KIkram91
    @KIkram91
    Inspired by the work of Forges, Crawford and Sobel, amongst other classical game theorists, we present a Reinforcement Learning simulation environment specifically designed to emerge communication (and of course, cooperation) 🍃 #MultiAgentRL #AI #gametheory 2/n
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