sudharsan13296/Deep-Reinforcement-Learning-With-Python
A code repository accompanying a book teaching classic and deep RL algorithms with extensive math and TensorFlow implementations.
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This repository contains Jupyter Notebooks and code examples from a book on deep reinforcement learning. It covers classic RL algorithms, value-based methods (DQN, Double DQN), policy gradient methods (PPO, A3C, TRPO), actor-critic algorithms (DDPG, TD3, SAC), and advanced topics like distributional RL and inverse RL. Implementations use TensorFlow with the OpenAI Gym toolkit.
Frequently asked
- What is sudharsan13296/Deep-Reinforcement-Learning-With-Python?
- A code repository accompanying a book teaching classic and deep RL algorithms with extensive math and TensorFlow implementations.
- Is Deep-Reinforcement-Learning-With-Python open source?
- Yes — sudharsan13296/Deep-Reinforcement-Learning-With-Python is an open-source project tracked on heatdrop.
- What language is Deep-Reinforcement-Learning-With-Python written in?
- sudharsan13296/Deep-Reinforcement-Learning-With-Python is primarily written in Jupyter Notebook.
- How popular is Deep-Reinforcement-Learning-With-Python?
- sudharsan13296/Deep-Reinforcement-Learning-With-Python has 474 stars on GitHub.
- Where can I find Deep-Reinforcement-Learning-With-Python?
- sudharsan13296/Deep-Reinforcement-Learning-With-Python is on GitHub at https://github.com/sudharsan13296/Deep-Reinforcement-Learning-With-Python.