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Reinforcement Learning Start here !

Markov Decision Processes

Framing Reinforcement Learning problems efficiently

Natural Language Processing JAX Advanced

Implementing a Transformer Encoder from Scratch with JAX and Haiku 🤖

Understanding the fundamental building blocks of Transformers.

Reinforcement Learning JAX Intermediate

Vectorize and Parallelize RL Environments with JAX, Q-learning at the Speed of Light⚡

Learn to vectorize an environment and train 30 Q-learning agents in parallel on a CPU, at 1.8 million iterations per second.

Reinforcement Learning Advanced

Temporal-Difference Learning and the importance of exploration, an illustrated guide

Comparing model-free and model-based RL methods on a dynamic grid world