nicknochnack / OpenAI-Reinforcement-Learning-with-Custom-Environment
This code accompanies the YouTube tutorial where we build a custom OpenAI environment for reinforcement learning.
☆102Updated last year
Alternatives and similar repositories for OpenAI-Reinforcement-Learning-with-Custom-Environment:
Users that are interested in OpenAI-Reinforcement-Learning-with-Custom-Environment are comparing it to the libraries listed below
- ☆292Updated 3 years ago
- A tutorial walking through the use of Keras-RL for reinforcement learning with OpenAI gym.☆69Updated 4 years ago
- Tensorflow 2 Reinforcement Learning Cookbook, published by Packt☆195Updated 2 years ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆68Updated 6 months ago
- ☆182Updated 2 years ago
- ☆376Updated last year
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆98Updated 2 years ago
- Deep Reinforcement Learning with Python, Second Edition, published by Packt☆184Updated 2 years ago
- Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math☆400Updated 3 years ago
- Mastering Reinforcement Learning with Python, published by Packt☆153Updated 2 years ago
- ☆23Updated 2 years ago
- Reinforcement learning tutorials☆365Updated last year
- ☆46Updated 5 years ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆329Updated 4 years ago
- Snake Gane using OpenCV Python☆13Updated 5 years ago
- A Minimal Deep Q-Network☆57Updated 7 months ago
- Collection of Python code that solves the Gymnasium Reinforcement Learning environments, along with YouTube tutorials.☆139Updated 4 months ago
- Deep Reinforcement Learning with DQN, Double DQN, Dueling DQN, Noisy Net (Noisy DQN), and DQN with Prioritized Experience Replay☆95Updated 4 years ago
- Open source collection of Reinforcement Learning Environments.☆76Updated last year
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆215Updated 3 weeks ago
- Python Reinforcement Learning Projects, published by Packt☆178Updated 2 years ago
- Source Code for 'Deep Reinforcement Learning with Python' by Nimish Sanghi☆47Updated 2 years ago
- 📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️☆49Updated 9 months ago
- A Reinforcement Learning Project using PPO + LSTM☆59Updated last year
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆322Updated 3 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆140Updated last year
- Multi-Objective Reinforcement Learning algorithms implementations.☆341Updated 2 months ago
- A collection of reinforcement learning algorithm implementations☆62Updated 8 months ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆77Updated 4 years ago
- An end to end walkthrough for building and deploying machine learning models with Python and Watson Machine Learning.☆20Updated 4 years ago