🎮 Reinforcement Learning

Phil Tabor's 4-hour RL course on freeCodeCamp — Q-learning, deep Q-networks, policy gradients. {description}

Prof. Balaraman Ravindran's NPTEL course on RL — MDPs, Q-learning, policy gradients, deep RL. {description}

DeepMind's collaboration with UCL — lectures by leading researchers including Hado van Hasselt and David Silver. {description}

Sergey Levine's deep RL course — policy gradients, Q-learning, model-based RL, exploration, offline RL. {description}

UC Berkeley's intro AI course — search, MDPs, RL, Bayes nets, ML. Famous Pacman projects. {description}

CMU's rigorous deep learning course — MLPs, CNNs, RNNs, Transformers, generative models, RL. {description}

Chelsea Finn's course on multi-task learning, meta-learning, and continual learning. {description}

MIT's graduate deep learning course — modern architectures, training, generative models, and applications. {description}

Hugging Face's free course on integrating ML into video games — Unity ML-Agents, Godot, generative AI in games. {description}

Hugging Face's hands-on free RL course — train agents in Unity, MuJoCo, Atari, and more. {description}