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Overview
Build Artificial Intelligence (AI) agents using Deep Reinforcement Learning and PyTorch: A2C, REINFORCE, DQN, etc. What you'll learn: Understand the Reinforcement Learning paradigm and the tasks that it's best suited to solve.Understand the process of solving a cognitive task using Reinforcement LearningUnderstand the different approaches to solving a task using Reinforcement Learning and choose the most fittingImplement Reinforcement Learning algorithms completely from scratchFundamentally understand the learning process for each algorithmDebug and extend the algorithms presentedUnderstand and implement new algorithms...
Syllabus
- Welcome module
- The Markov decision process (MDP)
- Dynamic Programming
- Monte Carlo methods
- Temporal difference methods
- N-step bootstrapping
- Continuous state spaces
- Brief introduction to neural networks
- Deep SARSA
- Deep Q-Learning
Instructor
Escape Velocity Labs
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