CS885 Module 1: Trust region \u0026 proximal policy optimization

(22:18)

CS885 Module 5: Distributional RL

(23:28)

CS885 Module 6: Inverse RL

(37:46)

CS885 Module 3: Imitation Learning

(30:20)

CS885 Module 4: Partially Observable Reinforcement Learning

(28:42)

CS885 Module 2: Maximum Entropy Reinforcement Learning

(41:48)

Exploring the nRF54L Series: Next-level wireless SoCs

(1:8:)

A demo of agriculture robot. Robotic arm + Raspberry PI + Python + OpenCV.

(44)

Radxa CM5 Series Review: CM5, CM5 Lite \u0026 IO Board Hands-On

(21:41)

IQ Panel 4 Technical Training Webinar

(2:11:33)

CS885 Lecture 1a: Course Introduction

(52:22)

Soccermatics: could a Premier League team one day be managed by a mathematician?

(43:5)

CS480/680 Lecture 19: Attention and Transformer Networks

(1:22:38)

4MS MetaModule | Episode 01 | The VCV-Rack to Eurorack Portal Device

(20:19)

Imitation Learning Tutorial ICML 2018

(2:6:48)

CS480/680 Lecture 21: Generative networks (variational autoencoders and GANs)

(55:51)

CS885 Lecture 6a: OpenAI Environments (Mike Rudd)

(23:13)

CS885 Presentation - Actor-Attention-Critic for Multi-Agent Reinforcement Learning

(30:32)

CS885 Lecture 15b: Proximal Policy Optimization (Presenter: Ruifan Yu)

(18:14)

CS885 Paper Presentation - University of Waterloo

(26:22)

CS885 Lecture 20b: Memory augmented control networks (Presenter: Aravind Balakrishnan)

(21:3)