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🤖 reinforcement learning
Chess Principles
mahdikarimi.com·10h·
Discuss: Hacker News
📊linear programming
Improving Q-Learning for Real-World Control: A Case Study in Series Hybrid Agricultural Tractors
arxiv.org·1d
🧩operations research
Automate Thyself
dealflowiq.com·52m·
Discuss: Hacker News
🧩operations research
HALO: Human Preference Aligned Offline Reward Learning for Robot Navigation
arxiv.org·2d
🧩operations research
Accelerating SGDM via Learning Rate and Batch Size Schedules: A Lyapunov-Based Analysis
arxiv.org·1d
🧩operations research
DSPy Simba Explained
blog.mariusvach.com·1d·
Discuss: Hacker News
📊linear programming
SLA-MORL: SLA-Aware Multi-Objective Reinforcement Learning for HPC Resource Optimization
arxiv.org·1d
🧩operations research
A Comparative Study of Optimal Control and Neural Networks in Asteroid Rendezvous Mission Analysis
arxiv.org·1d
🧩operations research
SAT Requires Exhaustive Search
link.springer.com·2d·
Discuss: Hacker News
🧩operations research
Neuromorphic Cybersecurity with Semi-supervised Lifelong Learning
arxiv.org·4h
🦀Rust
Taking the bitter lesson to heart for speech-to-speech models
metavoice.io·10h·
Discuss: Hacker News
📊linear programming
Why are LLMs' abilities emergent?
arxiv.org·4h
🦀Rust
Minimize AI hallucinations and deliver up to 99% verification accuracy with Automated Reasoning checks: Now available
aws.amazon.com·17h·
Discuss: Hacker News
🧩operations research
[P] AI Learns to Conquer Gaming's Most BRUTAL Level (Donkey Kong)
youtube.com·3d
🦀Rust
An Evolving Scenario Generation Method based on Dual-modal Driver Model Trained by Multi-Agent Reinforcement Learning
arxiv.org·2d
🧩operations research
Show HN: Principles of Building AI Agents book [pdf]
github.com·18h·
Discuss: Hacker News
📊linear programming
[D] Have any Bayesian deep learning methods achieved SOTA performance in...anything?
reddit.com·6h·
Discuss: r/MachineLearning
🧩operations research
Improving Indoor Pedestrian Navigation Using Enhanced QMD and AIEZ Frameworks
hackernoon.com·1d
🧩operations research
Thinking Clearly with LLMs: Mental Models and Cognitive Pitfalls in Prompt Engineering
dev.to·15h·
Discuss: DEV
📊linear programming
Enhanced Algal Bloom Prediction and Mitigation via Multi-Modal Data Fusion and Bayesian Optimization
dev.to·37m·
Discuss: DEV
📊linear programming
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