DeepHack.RL: FINAL GAME
DeepHack.RL: Witali Dunin-Barkowski - Neural roots of deep mind
DeepHack.RL: Alexey Dosovitskiy - Visuomotor control in 3D environments
DeepHack.RL: Andrey Lavrentyev - Neural networks for сyber-security of industrial objects
DeepHack.RL: Andrew Barto - Intrinsically motivated reinforcement learning
DeepHack.RL: Mikhail Burtsev - Model-based reinforcement learning for alternating environments
DeepHack.RL: Gabriel Synnaeve - E2D2: Episodic exploration for deep deterministic policies
DeepHack.RL: Anton Lokhmotov - Cross-platform performance optimisation of deep learning
DeepHack.RL: Tejas Kulkarni - Revisiting successor representations
DeepHack.RL: Marc Bellemare - The role of density models in reinforcement learning
DeepHack.RL: Doina Precup - Temporal abstraction in reinforcement learning
DeepHack.Turing: Maksim Kretov - Applications of RL techniques in NLP: An overview
How to contact DeepHack Demo Exploiting SQLi
DeepHack.RL: Andrey Raigorodskiy - Перспективные исследовательские задачи
DeepHack.RL: Andrey Chertok - Reinforcement learning for market-making: application in trading
DeepHack.RL: Yulia Sandamirskaya - Neuronal dynamics and autonomous learning in robotics
DeepHack RL — Михаил Павлов (5vision)
DeepHack.RL: Alexander Gasnikov - Безградиентные двухточечные методы для стохастической оптимизации
Запись трансляции ML-тренировки 25.02.17 | DeepHack RL, Avito BI
Weaponizing Machine Learning: Humanity Was Overrated Anyway - 28July2017
