Reinforcement learning: Fast and slow - Matthew Botvinick

The Prefrontal Cortex as a Meta-Reinforcement Learning System

Matthew Botvinick - AI as a Window on Human Intelligence (December 7, 2022)

Modern AI and the state of interdisciplinary exchange with neuroscience - Greg Corrado

Policy Gradient Theorem Explained - Reinforcement Learning

Принцип свободной энергии — Карл Фристон

Pieter Abbeel: Deep Reinforcement Learning | Lex Fridman Podcast #10

Neural networks and the brain: from the retina to semantic cognition - Surya Ganguli

Reinforcement Learning

ImageNet Moment for Reinforcement Learning? [Prof. Jakob Foerster]

DeepMind's Richard Sutton - The Long-term of AI & Temporal-Difference Learning

LLM и GPT - как работают большие языковые модели? Визуальное введение в трансформеры

A New Framework for Modeling Brain Information Processing - Nikolaus Kriegeskorte

Ilya Sutskever: OpenAI Meta-Learning and Self-Play | MIT Artificial General Intelligence (AGI)

Visualizing transformers and attention | Talk for TNG Big Tech Day '24

Matt Botvinick: Neuroscience, Psychology, and AI at DeepMind | Lex Fridman Podcast #106

Stanford CS230 | Autumn 2025 | Lecture 9: Career Advice in AI

Обучение с подкреплением, быстрое и медленное

Matthew Botvinick, DeepMind: Meta-learning in brains and machines

JNS Lecture: Will Dabney. "A Distributional Code for Value in Dopamine-Based Reinforcement Learning"

A History of Reinforcement Learning - Prof. A.G. Barto