Multi-Agent Reinforcement Learning Courses and Certifications

Structuring Cooperative Teams for Multi-Agent Reinforcement Learning

Explore advanced strategies for organizing cooperative teams in multi-agent reinforcement learning environments, focusing on structural optimization and team dynamics.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Neural Breakdown with AVB

Multi-Agent Reinforcement Learning - AI Navigation in Obstacle Courses

Explore multi-agent reinforcement learning by training AI teams to navigate obstacle courses using PPO, MA-PPO, and centralized training methods for cooperative behaviors.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Decision-Making in Dynamic Environments

Design AI agents that decide under uncertainty: reward structures, temporal difference learning, exploration versus exploitation, game-theoretic multi-agent coordination, distributed training, fairness, and adversarial robustness.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

Anyscale

Gearing Up for FIFA 2022 Using RLlib-Powered Traffic Control

Optimize traffic control for FIFA 2022 using RLlib-powered multi-agent reinforcement learning, microsimulation, and Graph Convolutional Networks for congestion management in Qatar.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

Anyscale

Tend and Tune Your MARL Experiments with Ray and Weights & Biases

Optimize multi-agent reinforcement learning experiments using Ray and Weights & Biases. Automate tuning, trace experiments, and centralize data for faster, more efficient results in scenarios like autonomous driving and drone flying.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Brown University;  Georgia Tech

Reinforcement Learning

8 ratings

Study machine learning at a deeper level and become a participant in the reinforcement learning research community.

• Udacity
• 21 hours
• Self-Paced
• Free Online Course

Nvidia Deep Learning Institute;  Unity Career Certificate

Deep Reinforcement Learning

357 ratings at Udacity

Build intelligent agents with deep reinforcement learning using value- and policy-based methods, Q-networks, experience replay, multi-agent techniques, Python, PyTorch, and C++.

• Udacity
• 83 hours
• Self-Paced
• Paid Course

Montreal Robotics

Robot Learning: Multi-Agent Reinforcement Learning and RLHF

Explore the foundations of multi-agent reinforcement learning (MARL) and its connection to reinforcement learning from human feedback (RLHF), including structured learning, algorithms, and training large language models.

• YouTube
• 1 hour 47 minutes
• Self-Paced
• Free Video

面向人类和多智能策略的评估

评估人类策略与多智能体策略的方法与表现。

• XuetangX
• Self-Paced
• Free Online Course

Packt

Cutting-Edge Topics in Deep Reinforcement Learning

Explore advanced deep RL: continuous control with A2C, trust region methods (PPO, TRPO, ACKTR), black-box optimization, exploration strategies, RLHF, AlphaGo Zero, MuZero, and multi-agent learning.

• Coursera
• 8 weeks, 1 hour a week
• Self-Paced
• Paid Course

MLOps World: Machine Learning in Production

WarpDrive: Orders of Magnitude Faster Multi-Agent Deep Reinforcement Learning on a GPU

Accelerate multi-agent deep reinforcement learning with WarpDrive, an open-source framework enabling end-to-end GPU execution. Explore features like automatic GPU tuning and distributed training for improved efficiency and scalability.

• YouTube
• 56 minutes
• Self-Paced
• Free Video

GOTO Conferences

The Road to General AI

Explore AI's evolution towards general intelligence through game implementations, reinforcement learning, and advanced techniques like multi-agent systems and hierarchical learning.

• YouTube
• 32 minutes
• Self-Paced
• Conference Talk

Toronto Machine Learning Series (TMLS)

The AI Economist: Economic Policy Design Using Deep Reinforcement Learning and AI Simulations

Explore AI-driven economic policy design using deep reinforcement learning and simulations. Learn how AI can improve equality, productivity, and public health outcomes in complex socio-economic challenges.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

Black Hat

Reinforcement Learning for Autonomous Resilient Cyber Defense

Explore UK Defence research on Reinforcement Learning for automated cyber defense decision-making, including Multi-Agent RL approaches and deep RL with Graph Neural Networks for resilient defense against sophisticated machine-speed attacks.

• YouTube
• 40 minutes
• Self-Paced
• Free Video