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Hacker News
Hacker News
@h4ckernews@mastodon.social  ·  activity timestamp 3 weeks ago

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication Through RL

https://github.com/deepreinforce-ai/CUDA-L2

#HackerNews #CUDA #L2 #cuBLAS #Matrix #Multiplication #RL #Performance

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Hacker News
Hacker News
@h4ckernews@mastodon.social  ·  activity timestamp 4 weeks ago

RL is more information inefficient than you thought

https://www.dwarkesh.com/p/bits-per-sample

#HackerNews #RL #information #inefficiency #AI #research #machinelearning #dataanalysis

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Fabrizio Musacchio
Fabrizio Musacchio
@pixeltracker@sigmoid.social  ·  activity timestamp 2 months ago

🧠 New preprint by Codol et al. (2025): Brain-like #NeuralDynamics for #behavioral control develop through #ReinforcementLearning. They show that only #RL, not #SupervisedLearning, yields neural activity geometries & dynamics matching monkey #MotorCortex recordings. RL-trained #RNNs operate at the edge of #chaos, reproduce adaptive reorganization under #visuomotor rotation, and require realistic limb #biomechanics to achieve brain-like control.

🌍 https://doi.org/10.1101/2024.10.04.616712

#CompNeuro #Neuroscience

Brain-like neural dynamics for behavioral control develop through reinforcement learning

Fig. 2: Neural networks trained with RL or SL achieved high performance in controlling the effector .
Fig. 2: Neural networks trained with RL or SL achieved high performance in controlling the effector .
Fig. 2: Neural networks trained with RL or SL achieved high performance in controlling the effector .
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