ML learning

Available Guides

• Parallel Q-Learning in a Maze Environment live Reinforcement Learning

  An interactive guide to implementing parallel Q-learning in a maze environment, covering state representation, action selection, and learning updates.

• Split-Solve Batches in Maze Environment live Reinforcement Learning

  Solving a maze environment using a split-solve approach, where the problem is divided into smaller batches for efficient learning and faster convergence.

• Mixture of Experts with Multi-Attention live
  
  Reinforcement Learning Multi-Point-attention Mixture of Experts

  An interactive guide to implementing a Mixture of Experts (MoE) model with multi-attention mechanisms, exploring how to combine multiple expert models for improved performance in complex tasks.

• Finding the Shortest Path in a Maze live
  Reinforcement Learning Shortest Path Custom-Environment Agent-Goal-based

  An interactive guide to finding the shortest path in a maze environment using reinforcement learning techniques, including state representation, reward design, and policy optimization.

• English Language Learning live
  Language Learning English

  An interactive guide to learning English, covering grammar, vocabulary, pronunciation, and practical usage tips.