Alpha‑Factory Demo Gallery Seminal ideas awaken inside a single agentic engine: · Era of Experience · MuZero Planning · AI‑GA Meta‑Evolution Demos: https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0/tree/main/alpha_factory_v1/demos
… Alpha‑Factory — forging intelligence that forges itself. #AGI #AGIALPHA
@montreal_ai
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Alpha-Factory: Self-Forging Intelligence Engine for AGI
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Algorithms That Invent Algorithms: Self-Generating Code Evolution
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Algorithms That Invent Algorithms Inside our digital atelier, code now breeds code. Algorithms spawn heirs, worlds reshape, minds bloom unprompted. Feel tomorrow stir—explore the living demo. https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0/tree/main/alpha_factory_v1/demos/aiga_meta_evolution
… #AGI #AGIALPHA #ReinforcementLearning -
Alpha-Factory v1: MuZero Planning Agent in Browser Demo
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Somewhere between Eustace Tilley’s knowing smirk and DeepMind’s chessboard, we coaxed Alpha‑Factory v1 into a living novella of code: MuZero planning, balancing, outwitting—all inside your browser Pure delight. Demo: https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0/tree/main/alpha_factory_v1/demos/muzero_planning
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Alpha-Factory v1: Multi-Agent AGI Learns Through Experience
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Eustace Tilley would nod: Alpha‑Factory v1 now breathes Silver & Sutton’s “Era of Experience.” Multi‑agent α‑AGI that learns by living—cross‑industry ready, deployable in one command. Demo ➜ https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0/tree/main/alpha_factory_v1/demos/era_of_experience
… #AGI #AGIALPHA #ReinforcementLearning -
DeepMind Era of Experience: Reinforcement Learning Advances
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Welcome to the Era of Experience David Silver, Richard S. Sutton: https://
storage.googleapis.com/deepmind-media
/Era-of-Experience/TheEraofExperiencePaper.pdf
… #ArtificialIntelligence #DeepLearning #ReinforcementLearning -
Does Reinforcement Learning Improve LLM Reasoning Beyond Base Models?
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Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model? Yue et al.: https://
arxiv.org/abs/2504.13837 #ArtificialIntelligence #DeepLearning #MachineLearning -
MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning
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SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement Wang et al.: https://
arxiv.org/abs/2504.07934 #ArtificialIntelligence #DeepLearning #MachineLearning -
Foundations of Large Language Models by Xiao and Zhu
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Foundations of Large Language Models Tong Xiao, Jingbo Zhu: https://
arxiv.org/abs/2501.09223 #ArtificialIntelligence #DeepLearning #MachineLearning
