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A.I. Learns to Land a Rocket (RockRL)
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Classroom Contents
Reinforcement Learning - From DQN to PPO with Practical Applications
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- 1 Introduction to Reinforcement Learning - Cartpole DQN
- 2 Solving the CartPole with Double Deep Q Network
- 3 Introduction to Double Dueling Deep Q Network
- 4 Epsilon Greedy strategy in Deep Q Learning
- 5 Introduction to Prioritized Experience Replay in Deep Q Learning
- 6 Deep Q Network with Convolutional Neural Networks
- 7 A.I. learns to play Pong game from pixels with DQN
- 8 Reinforcement learning agents Beyond DQN (policy Gradient)
- 9 Advanced Actor Critic algorithm (A2C) with Pong
- 10 Introduction to Asynchronous Advanced Actor Critic algorithm (A3C)
- 11 Introduction to Proximal Policy Optimization algorithm (PPO)
- 12 Introduction to Proximal Policy Optimization Tutorial with OpenAI gym environment
- 13 Continuous Proximal Policy Optimization Tutorial with OpenAI gym environment
- 14 A.I. Learns to Land a Rocket (RockRL)
- 15 A.I Learns To Walk (Reinforcement Learning - RockRL)
- 16 A.I. Learns to Walk Through Obstacles (Reinforcement Learning - RockRL)
