DeepHack.RL: Andrew Barto - Intrinsically motivated reinforcement learning
Reinforcement Learning (RL) - Andrew G. Barto | Podcast #25
A History of Reinforcement Learning - Prof. A.G. Barto
DeepHack.RL: Mikhail Burtsev - Model-based reinforcement learning for alternating environments
DeepHack.RL: Doina Precup - Temporal abstraction in reinforcement learning
Heroes of AI - Andrew G. Barto
Andrew G. Barto - Closing Remarks & Motivation
DeepHack.RL: Andrey Chertok - Reinforcement learning for market-making: application in trading
DeepHack.RL: Tejas Kulkarni - Revisiting successor representations
DeepHack.RL: Witali Dunin-Barkowski - Neural roots of deep mind
Extrinsic & Intrinsic Motivation | Reinforcement Learning
Andrew Barto - Surprise, Curiosity, and Reward: from Neuroscience to AI - EPFL Virtual Symposium
Reinforcement Learning, Sutton and Barto 2.5-2.7
DeepHack RL — Михаил Павлов (5vision)
DeepHack.RL: Yulia Sandamirskaya - Neuronal dynamics and autonomous learning in robotics
Intrinsic Motivation in Math
DLRLSS 2019 - Doing RL on Robots - Jan Peters
Kenji Doya, OIST: Neural circuits for reinforcement learning and mental stimulation
DeepHack.RL: Andrey Raigorodskiy - Перспективные исследовательские задачи
Reinforcement Q learing Example.
