newsReddit r/MachineLearningTrust 72 · CommunityPublished 1mo agoLive · 1mo ago
I made a superhuman Generals.io agent with self-play RL [P]
Hi everyone, I trained a self-play RL agent for Generals.io that reached superhuman-level and ranked #1 on the human 1v1 leaderboard. It began as my master's thesis where the goal was to beat a prior algorithm based agent. We succeeded using behavior cloning, RL fine-tuning and reward shaping, but the agent was still consistently beaten by the top players. So I gave it a round two and fixed the largest bottle
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- LinkedLinked via unknownSelf-rewarding agents that retrace failures →
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- LinkedLinked via unknownTriadic Werewolf: A Jester Role for Multi-Hop Theory of Mind in LLMs →
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- PossiblePossibly related (embedding) · 47%tomasz-tomczyk/crit →
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repoNoshkoto/Noshyrepokuzmenkoff/exec_magica_enginepaperTriadic Werewolf: A Jester Role for Multi-Hop Theory of Mind in LLMsrepojaimasih05-commits/swarm-foraging-qlearnrepotomasz-tomczyk/critreposteveyeow/FeynmanrepoShiyao-Huang/awesome-agent-evolutionrepoAgentToolkit/altk-evolvepaperTeach it to stop, not just to clickrepoAlibaba-Quark/SSP
Related across the graph
repotomasz-tomczyk/critpaperTriadic Werewolf: A Jester Role for Multi-Hop Theory of Mind in LLMsrepoShiyao-Huang/awesome-agent-evolutionrepojaimasih05-commits/swarm-foraging-qlearnpaperSelf-rewarding agents that retrace failuresrepoAgentToolkit/altk-evolverepokuzmenkoff/exec_magica_enginereporetrace-agentsreposteveyeow/FeynmanrepoAlibaba-Quark/SSPrepoNoshkoto/Noshyrepoagent-toolspaperTeach it to stop, not just to click