Reinforcement Learning

AI Reinforcement Learning

An AI Learns to Play Starcraft 2 with Reinforcement Learning

Interesting video tinkering with reinforcement learning via Stable Baselines 3 and Starcraft 2. Code and model: https://github.com/Sentdex/SC2RL

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Reinforcement Learning

Can AI Learn to Cooperate?

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 […]

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Reinforcement Learning

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 […]

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Reinforcement Learning

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.

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AI Reinforcement Learning

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 […]

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AI Reinforcement Learning

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.

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Podcasts Reinforcement Learning

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 […]

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