sudharsan13296/Hands-On-Reinforcement-Learning-With-Python
A book repository teaching reinforcement and deep reinforcement learning algorithms via OpenAI Gym and TensorFlow implementations.
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The repository accompanies a published book covering reinforcement learning from basics to advanced deep RL algorithms. It contains Jupyter Notebooks implementing core RL algorithms including DQN, Double DQN, Dueling DQN, DRQN, A3C, DDPG, TRPO, and PPO. The material combines classic RL concepts like Markov Decision Processes and Monte Carlo methods with deep learning approaches, using OpenAI Gym as the primary environment for practical examples.
Frequently asked
- What is sudharsan13296/Hands-On-Reinforcement-Learning-With-Python?
- A book repository teaching reinforcement and deep reinforcement learning algorithms via OpenAI Gym and TensorFlow implementations.
- Is Hands-On-Reinforcement-Learning-With-Python open source?
- Yes — sudharsan13296/Hands-On-Reinforcement-Learning-With-Python is an open-source project tracked on heatdrop.
- What language is Hands-On-Reinforcement-Learning-With-Python written in?
- sudharsan13296/Hands-On-Reinforcement-Learning-With-Python is primarily written in Jupyter Notebook.
- How popular is Hands-On-Reinforcement-Learning-With-Python?
- sudharsan13296/Hands-On-Reinforcement-Learning-With-Python has 860 stars on GitHub.
- Where can I find Hands-On-Reinforcement-Learning-With-Python?
- sudharsan13296/Hands-On-Reinforcement-Learning-With-Python is on GitHub at https://github.com/sudharsan13296/Hands-On-Reinforcement-Learning-With-Python.