🎮 Reinforcement Learning - barisamiw · Scour

check out this article on Reinforcement Learning with R: Origins, Real-Life Applications, and Practical Implementation

dev.to·1d·

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Optimistic Training and Convergence of Q-Learning -- Extended Version

arxiv.org·2d

⚡Query Optimization

On-Policy Policy Gradient Reinforcement Learning Without On-Policy Sampling

arxiv.org·17h

Recursive self-improvement from AI models

marginalrevolution.com·1d·

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The Rational Use of Cognitive Resources

press.princeton.edu·1d

🔀Transformers

Architectural and Mathematical Foundations of Machine Learning: A Rigorous Synthesis of Theory, Geometry, and Implementation

chizkidd.github.io·8h·

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A multi-agent reinforcement learning approach to autonomous aircraft taxiing with taxiing time, fuel consumption, and emission optimization

sciencedirect.com·8h

Hybrid neural–cognitive models reveal how memory shapes human reward learning

nature.com·4d

🔀Transformers

New Generative Paradigm: Drifting Model

mail.bycloud.ai·1d

🔀Transformers

Embedded Agency (full-text version)

lesswrong.com·8h

🔀Transformers

Show HN: A minimal online decision maker

decisionmaker.online·9h·

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Memory and Learning layer be built in-house or bought externally?

medium.com·1d·

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🌐Distributed Systems

ashworks1706/rlhf-from-scratch: A theoretical and practical deep dive into Reinforcement Learning with Human Feedback and it’s applications in Large Language Models from scratch.

github.com·1d·

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🔀Transformers

Training Data from Real-World Sources

lightningrod.ai·19m

🧭Vector Databases

1.8x Increase in Training Speed, 78% Reduction in Inference Overhead: Accurate Question Selection Efficiently Accelerates RL Training

eu.36kr.com·2d

Palantir: N Of 1, Industrializing Autonomy Via Zero-Marginal-Cost AI Integration

seekingalpha.com

·6h

YORU: Animal behavior detection with object-based approach for real-time closed-loop feedback

science.org·8h

🔀Transformers

Magic Tricks, Moats, and the Three-Body Problem of AI Networks

caseyaccidental.com·6h

🌐Distributed Systems

Robotics Motion Learning: Training Linked Robot Arms with Kuramoto Models

hackernoon.com·6h

— ### Abstract We propose a reinforcement‑learning based framework for automatic coordination of multiple autonomous mobile robots (AMRs) performing sl...

freederia.com·5d

🌐Distributed Systems

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