Can AI Learn to Cooperate?
-
Frank
- April 9, 2021
- actor critic methods
- cooperative reinforcement learning
- ddpg
- deep deterministic policy gradients
- maddpg
- maddpg algorithm
- maddpg openai gym
- maddpg pytorch
- maddpg tutorial
- multi agent actor critic
- multi agent actor critic algorithm
- multi agent actor critic explained
- multi agent actor critic tutorial
- multi agent actor deep deterministic policy gradients
- multi agent deep deterministic policy gradients
- multi agent reinforcement learning
- policy gradients
Machine Learning with Phil covers Multi Agent Deep Deterministic Policy Gradients (MADDPG) in this video. Multi agent deep deterministic policy gradients is one of the first successful algorithms for multi agent artificial intelligence. Cooperation and competition among AI agents is going to be critical as applications of deep learning expand in our daily lives. In […]
Read More
DeepMind’s AI Watches YouTube and Learns To Play
Two Minute Papers looks at the paper “Playing hard exploration games by watching YouTube.”
Read More
A Beginner’s Guide to Reinforcement Learning
Reinforcement learning is one of the most exciting collections of techniques for building self-learning systems. Over the past five years, we’ve seen RL successfully meet such challenges as exceeding human performance on popular video games and board games. Despite the excitement around the success of these RL agents, it has remained extraordinarily difficult for most […]
Read More
Reinforcement Learning: Machine Learning Meets Control Theory
Steve Brunton explains reinforcement learning. Reinforcement learning is a powerful technique at the intersection of machine learning and control theory, and it is inspired by how biological systems learn to interact with their environment. In this video, we provide a high level overview of reinforcement learning, along with leading algorithms and impressive applications.
Read More
New Reinforcement Learning Methods to Improve AI in Gaming and Beyond
This episode of the AI show covers reinforcement learning – an AI approach that is especially promising for training naturally behaving game characters with nuanced reactions to human players. Jump To: [00:50] What is reinforcement learning[02:26] Project Malmo – Minecraft as a platform for AI research[05:00] Project Paidia: towards RL agents that learn to collaborate […]
Read More
AI-Driven Basketball Players Dribble Like Mad
Two Minute Papers explains the paper “Local Motion Phases for Learning Multi-Contact Character Movements” in the video below.
Read More
Provably Efficient Reinforcement Learning with Dr. Akshay Krishnamurthy
MSR’s New York City lab is home to some of the best reinforcement learning research on the planet but if you ask any of the researchers, they’ll tell you they’re very interested in getting it out of the lab and into the real world. One of those researchers is Dr. Akshay Krishnamurthy and today, he […]
Read More
DeepMind Made A Superhuman AI For 57 Atari Games
Two Minute Papers takes a look at the paper “Agent57: Outperforming the Atari Human Benchmark” in the following video.
Read More
Get Started with Reinforcement Learning on Azure Machine Learning
Are you curious how data scientists and researchers train agents that make decisions? Learn how to use reinforcement learning to optimize decision making using Azure Machine Learning. We show you how to get started. Time Index: [00:36] – What is reinforcement learning? [01:37] – How do reinforcement learning algorithms work? [04:10] – Reinforcement Learning on […]
Read More
This AI Does Nothing In Games…And Still Wins!
Two Minute Papers explores the paper “Adversarial Policies.”
Read More