Комментарии отсутствуют
Информация о видео
Другие видео канала
CS885 Lecture 12: Deep Recurrent Q-Networks
CS480/680 Lecture 15: Deep neural networks
CS885 Lecture 13b: Lifelong Learning in Minecraft (Presenter: Yetian Wang)
CS480/680 Lecture 24: Gradient boosting, bagging, decision forests
CS885 Module 1: Trust region & proximal policy optimization
CS885 Lecture 18b: Learning Driving Styles for Autonomous Vehicles (Presenter: Marko Ilievski)
CS885 Module 2: Maximum Entropy Reinforcement Learning
CS885 Lecture 14c: Trust Region Methods
CS885 Lecture 18a: Safe multi-agent RL for autonomous driving (Presenter: Ashish Gaurav)
CS885 Lecture 3a: Policy Iteration
CS885 Lecture 20a: Neural map: structured memory for deep RL (Presenter: Andreas Stöckel)
CS480/680 Lecture 16: Convolutional neural networks
CS480/680 Lecture 6: Kaggle datasets and competitions
CS885 Lecture 4a: Deep Neural Networks
CS885 Lecture 19a: End-to-end LSTM based dialog control (Presenter: Hamidreza Shahidi)
CS885 Lecture 17b: Control of a Quadrotor (Presenter Nicole McNabb)
CS480/680 Lecture 6: Sum-product networks (Pranav Subramani)
CS885 Lecture 19b: Learning cooperative visual dialog agents (Presenter: Nalin Chhibber)
CS885 Lecture 11b: Partially Observable RL
CS885 Lecture 10: Bayesian RL
CS480/680 Lecture 6: Fact checking and reinforcement learning (Vik Goel)