Topographical sparse mapping: A training framework for deep learning models
🤖reinforcement learning
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My tutorial and take on C++20 coroutines (2021)
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LazyLLM, Easiest and laziest way for building multi-agent LLMs applications
🤖reinforcement learning
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Extracting Causal Relations in Deep Knowledge Tracing
arxiv.org·11h
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Predictive Freight Network Resilience via Hybrid Simulation and Stochastic Optimization
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FP-AbDiff: Improving Score-based Antibody Design by Capturing Nonequilibrium Dynamics through the Underlying Fokker-Planck Equation
arxiv.org·1d
🤖reinforcement learning
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Real-Time Process Optimization via Adaptive Bayesian Reinforcement Learning and Multi-Objective Genetic Algorithms
🤖reinforcement learning
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Canonical's Secure Starlark in Go
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The Self-Organizing AI: Can Machines Learn to 'Feel' Their Way to Success? by Arvind Sundararajan
🤖reinforcement learning
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Geometric Data Valuation via Leverage Scores
arxiv.org·2d
📊linear programming
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A Dynamic Recurrent Adjacency Memory Network for Mixed-Generation Power System Stability Forecasting
arxiv.org·11h
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Deep Learning-Driven Kinetic Resolution of Chiral Amino Acids via Engineered Artificial Metalloenzymes
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Enhancing Cloud Workload Isolation via Adaptive Byzantine Fault Tolerance with Multi-Objective Optimization
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Analytical modelling of a stop-less modular bus service with an application to charging strategies comparison
arxiv.org·11h
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Climate Adaptation with Reinforcement Learning: Economic vs. Quality of Life Adaptation Pathways
arxiv.org·1d
🤖reinforcement learning
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Unlocking Simplicity: Skeletonizing Boolean Networks for Enhanced Performance by Arvind Sundararajan
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The Exact Steps I Followed to Start My AI Learning Path
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Why Consciousness Should Explain Physical Phenomena: Toward a Testable Theory
arxiv.org·11h
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Observer-based neural networks for flow estimation and control
arxiv.org·1d
🤖reinforcement learning
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