- Welcome!
- Before you start - Videos quality!
- Resources
Quick Facts
particular | details | |||
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course and certificate fees
Fees information
₹ 449 ₹2,299
certificate availability
Yes
certificate providing authority
Udemy
The syllabus
Welcome to the course
Introduction
- Introduction #1
- Introduction #2
- Introduction #3
- Introduction #4
- Environment setup / Installation
- Lab. OpenAI Gym #1
- Lab. OpenAI Gym #2
- Lab. OpenAI Gym #3
- Lab. OpenAI Gym #4
Tabular methods
- Deterministic & Stochastic environments
- Rewards
- Bellman equation #1
- Bellman equation #2
- Resource - code
- Lab. Algorithm for deterministic environments #1
- Lab. Algorithm for deterministic environments #2
- Lab. Algorithm for deterministic environments #3
- Lab. Algorithm for deterministic environments #4
- Lab. Test with stochastic environment
- Q-Learning
- Lab. Algorithm for stochastic environments
- Exploration vs Exploitation
- Lab. Egreedy
- Lab. Adaptive egreedy
- Bonus Lab. Value iteration
- Homework
- Homework. Solution
- Homework. Tuning
Scaling up
- Scaling up
- Neural Networks review
- Lab. Neural Networks review #1
- Lab. Neural Networks review #2
- Lab. Random CartPole
- Lab. Epsilon egreedy revisited
- Lab. Pytorch updated ( version 0.4.0 )
- Article. Pytorch updated! (further versions)
- Lab. OpenAI Gym + Neural Network #1
- Lab. OpenAI Gym + Neural Network #2
- Lab. OpenAI Gym + Neural Network #3
- Lab. Extended logging
DQN
- Deep Reinforcement Learning
- Lab. Deep Reinforcement Learning
- Lab. Tuning challenge
- Experience Replay
- Lab. Experience Replay #1
- Lab. Experience Replay #2
- Lab. Experience Replay #3
- DQN
- Lab. DQN
DQN Improvements
- Double DQN
- Lab. Double DQN
- Dueling DQN
- Lab. Dueling DQN
- Lab. Dueling DQN Challenge
DQN with video output
- CNN Review
- Lab. Random Pong
- Saving & Loading the Model
- Lab. Pong from video output #1
- Lab. Pong from video output #2
- Lab. Pong from video output #3
- Lab. Pong from video output #4
- Lab. Pong from video output #5
- Lab. Pong from video output #6
- Potential improvements
- Article. Stacking 4 images together
Final notes
- What's next?
Articles
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