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🎯 Reinforcement Learning
Q-learning, Policy Gradient, Reward Functions, TD Learning
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Optimistic
Training and
Convergence
of Q-Learning -- Extended Version
arxiv.org
·
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On-Policy Policy
Gradient
Reinforcement Learning Without On-Policy
Sampling
arxiv.org
·
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Show HN:
Fighting
the War Against
Expensive
Reinforcement Learning
cadenza-landing-qtu7gbjwb-akshparekh123-3457s-projects.vercel.app
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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
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Architectural and Mathematical
Foundations
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chizkidd.github.io
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🧠
Machine Learning
A training
principle
for
drifting
models
breno.bearblog.dev
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Machine Learning
Feedback
Control for Computer Systems
janert.org
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Shell Scripting
How to
Leverage
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AI for Better Business Decisions
towardsdatascience.com
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Show HN: A
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decisionmaker.online
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Researchers propose a self-distillation fix for ‘
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’ in LLMs
infoworld.com
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The 4 Mixture of Experts Architectures: How to Train
100B
Models at
10B
Cost
pub.towardsai.net
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Gibbs Measures from Deep Shaped
Multilayer
Perceptrons
link.aps.org
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3h
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LLMs
Hybrid neural–cognitive models reveal how memory
shapes
human
reward
learning
nature.com
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5d
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Order
parameters
and phase transitions of
continual
learning in deep neural networks
pnas.org
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1d
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AI
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
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Memory and Learning
layer
be built in-house or bought
externally
?
medium.com
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Wavelet
Meets Adam:
Compressing
Gradients for Memory-Efficient Training
chipublib.idm.oclc.org
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1d
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LLMs
Behavioral economics-oriented energy storage investment analysis: A
holistic
decision support model with advanced
fuzzy
techniques
sciencedirect.com
·
23h
🧠
Cognitive Science
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