AI Agents & Automation

Enhanced POET: Open-Ended RL through Unbounded Invention of Learning Challenges and their Solutions

Inside TensorFlow: TF-Agents

Dream to Control: Learning Behaviors by Latent Imagination

Why coronavirus scammers can send fake emails from the WHO

Simulating the Future of Traffic with RL w/ Cathy Wu - #362

Anca Dragan: Human-Robot Interaction and Reward Engineering | Lex Fridman Podcast #81

R Tutorial: Classification with Nearest Neighbors

R Tutorial: Data preparation for kNN

Michael I. Jordan: Machine Learning, Recommender Systems, and Future of AI | Lex Fridman Podcast #74

How AlphaStar Became a StarCraft Grandmaster | AI and Games #48

The Secret To Success With Podcaster & Real Estate LEGEND

A.I. Learns to Play World's Hardest Game (QWOP)

DeepMind’s AlphaStar: A Grandmaster Level StarCraft 2 AI!

OpenAI Plays Hide and Seek…and Breaks The Game! 🤖

Reinforcement Learning: Crash Course AI #9

Live from TWIMLcon! Operationalizing ML at Scale with Hussein Mehanna - #306

Multi-Agent Hide and Seek

Longer-term model results - Self-driving cars with Carla and Python p.6

Running our Reinforcement Learning Agent - Self-driving cars with Carla and Python p.5

Sandbox Assassin: The AI of Hitman (2016) | AI and Games #45

From pacifist to spy: WWII’s surprising secret agent - Shrabani Basu

Deep Q-Network Training Code - Reinforcement Learning Code Project

Facebook Video Creation Kit Tutorial - Create Facebook Ads With Video Creation Kit Templates

TF-Agents: Reinforcement Learning (TensorFlow Meets)

Does Persistence Really Pay Off?

Closing Lessons From Real Estate Mogul Ryan Serhant

Curves Adjustment Explained - Affinity Photo Beginners Tutorial

🔴 Biz Dev (Business Development & Sales) Livestream

The Mighty Power of Nanomaterials: Crash Course Engineering #23

Reinforcement Learning with Prediction-Based Rewards

Watch Q-learning Agent Play Game with Python - Reinforcement Learning Code Project

MuZero: Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model

A neurally plausible model learns successor representations in partially observable environments

George Hotz: 3 Problems of Autonomous Driving: Static, Dynamic, Counterfactual | AI Podcast Clips

Reinforcement Learning Agent - Self-driving cars with Carla and Python p.4

Chris Urmson: Is Lidar a Crutch? | AI Podcast Clips

Reinforcement Learning Environment for Car Agent - Self-driving cars with Carla and Python p.3

Controlling the Car and getting Camera Sensor Data - Self-driving cars with Carla and Python p.2

Programming Autonomous self-driving cars with Carla and Python

Training & Testing Deep reinforcement learning (DQN) Agent - Reinforcement Learning p.6

Q-Learning Agent Analysis - Reinforcement Learning p.3

Q Learning Algorithm and Agent - Reinforcement Learning p.2

Q Learning Intro/Table - Reinforcement Learning p.1

TF-Agents: A Flexible Reinforcement Learning Library for TensorFlow (Google I/O'19)

Building a Recommendation Agent for The North Face with Andrew Guldman - TWiML Talk #239

Reinforcement Learning in TensorFlow with TF-Agents (TF Dev Summit '19)

Oliver Cameron (CEO, Voyage) - MIT Self-Driving Cars

DeepMind’s AlphaStar Beats Humans 10-0 (or 1)