50,000 Plays... thank You!
timberwolfgames.itch.io·12h
🔄Tokio
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What’s the point of a retro case “???”
rubenerd.com·1d
⚙Technology
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I want you to understand Chicago
🕸️Service Mesh
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Scaling Agent Learning via Experience Synthesis
threadreaderapp.com·2d
♟️Alpha-Beta Pruning
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Playing Around with ARM Assembly
🌐WebAssembly
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Bio-Inspired Neuron Synapse Optimization for Adaptive Learning and Smart Decision-Making
arxiv.org·4d
📊Embeddings
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The Reinforcement Learning Handbook: A Guide to Foundational Questions
towardsdatascience.com·2d
🤖Machine Learning
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[R] My RL agent taught itself a complete skill progression using only a “boredom” signal (no rewards)
♟Chess Programming
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SORTeD Rashomon Sets of Sparse Decision Trees: Anytime Enumeration
arxiv.org·2d
🤖Machine Learning
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VLA^2: Empowering Vision-Language-Action Models with an Agentic Framework forUnseen Concept Manipulation
🤖Machine Learning
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Fair and Explainable Credit-Scoring under Concept Drift: Adaptive Explanation Frameworks for Evolving Populations
arxiv.org·1d
🤖Machine Learning
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The AI Career Playbook: Upskill, Build, and Land Your Dream Tech Role (2025-11-08)
🌐WebAssembly
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MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning
arxiv.org·3d
📊Embeddings
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