Leveraging Traces for Continual Reinforcement Learning - Martha White - CoLLAs 2025

What Happens After We Solve Continual Learning - Stephanie Chan - CoLLAs 2025

Non Stationarity Online Learning and Loss of Plasticity - Andras Gyorgy - CoLLAs 2025

Yann LeCun | Self-Supervised Learning, JEPA, World Models, and the future of AI

Resolving the Sensorimotor Dilemma - George Konidaris - CoLLAs 2025

Reinitializing Weights vs Units for Maintaining Plasticity in Neural Networks - CoLLAs 2025

Richard Sutton – Father of RL thinks LLMs are a dead end

Обучение на основе временных различий (включая Q-обучение) | Обучение с подкреплением, часть 4

Unlocking Lifelong Robot Learning With Modularity - Jorge Mendez Mendez - CoLLAs 2025

MIT 6.S191: Reinforcement Learning

ДНК создал Бог? Самые свежие научные данные о строении. Как работает информация для жизни организмов

Reinforcement Learning - Computerphile

Experimenting with Reinforcement Learning with Verifiable Rewards (RLVR)

Обучение с подкреплением с нуля

Reinforcement Learning from Human Feedback (RLHF) Explained

ПРОКОФЬЕВ - Гениальная сволочь

Введение в методы градиента политики — глубокое обучение с подкреплением

Recurrent Neural Networks (RNNs), Clearly Explained!!!

Computational Building Blocks for Complex Cognition - Cristina Savin - CoLLAs 2025

Обучение с подкреплением, по книге

MIT 6.S091: Introduction to Deep Reinforcement Learning (Deep RL)