I've spent a lot of time recently thinking about a concept from RL called the Successor Representation. It has a number of nice properties (and links to psych/ neuroscience). For those new to the concept, I wrote an overview/tutorial on it (with code). link.medium.com/tyxKfY52e1
Since @OpenAI still has not changed misleading blog post about "solving the Rubik's cube", I attach detailed analysis, comparing what they say and imply with what they actually did. IMHO most would not be obvious to nonexperts. Please zoom in to read & judge for yourself.
Interested in decision making under uncertainty? Check out Emukit! Python toolkit for Sensitivity analysis, multi-fidelity modelling, Bayesian optimization, Bayesian quadrature and experimental design. Great work team! @emukitUQ @javiergonzh @alpiges amzn.github.io/emukit/
#AI #Documentaries Top 10 Documentaries On Artificial Intelligence That You Must Watch sumo.ly/E8Ze via @analyticsindiam
This "controversy" seems to result from a hidden factor effect: almost all neurosci input into ML/AI was mediated by *computational* NS
Does neuroscience have anything to contribute to AI? @demishassabis @summerfieldlab say yes cell.com/neuron/fulltex…
Our new Perspective article in Neuron, on how neuroscience and AI can help and influence each other: cell.com/neuron/fulltex…
Measuring the Progress of AI Research eff.org/ai/metrics looks quite comprehensive!
Practical Deep Learning For Coders—18 hours of lessons for free ow.ly/Kof530b6Fx6 #dlearn #datamining
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