AleksandarHaber / Deep-Q-Learning-Network-from-Scratch-in-Python-TensorFlow-and-OpenAI-Gym
These code files implement the deep Q learning network algorithm from scratch by using Python, TensorFlow, and OpenAI Gym. The codes are tested in the OpenAI Gym Cart Pole (v1) environment.
☆19Updated 2 weeks ago
Alternatives and similar repositories for Deep-Q-Learning-Network-from-Scratch-in-Python-TensorFlow-and-OpenAI-Gym:
Users that are interested in Deep-Q-Learning-Network-from-Scratch-in-Python-TensorFlow-and-OpenAI-Gym are comparing it to the libraries listed below
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆108Updated 3 months ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆148Updated last year
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆68Updated 8 months ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆92Updated 4 years ago
- High-performance RL library for transportation problems, e.g., autonomous driving, traffic light control, UAV control, and path planning.☆27Updated last year
- ☆185Updated 3 years ago
- Practical tutorial on RLlib for deep hierarchical multi-agent reinforcement learning☆64Updated 2 years ago
- Collection of materials and code samples on reinforcement learning / optimal control and game theory☆14Updated this week
- An open, minimalist Gymnasium environment for autonomous coordination in wireless mobile networks.☆127Updated 4 months ago
- Transfer Learning in Reinforcement Learning using Stable-Baseline3 | Transfer Reinforcement Learning for Differing Action Spaces via Q-Ne…☆20Updated 3 years ago
- ☆13Updated 2 years ago
- ☆23Updated 2 years ago
- reinforcement learning with pytorch geometric library☆48Updated 3 years ago
- The state-of-the-art in multi-agent Reinforcement Learning is the MADDPG algorithm which utilises DDPG actor-critic neural networks where…☆27Updated 5 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆125Updated 11 months ago
- A Reinforcement Learning Project using PPO + LSTM☆68Updated last year
- RLToolkit is a flexible and high-efficient reinforcement learning framework. Include implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG,…☆17Updated last year
- A collection of reinforcement learning algorithm implementations☆63Updated 10 months ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆142Updated 10 months ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆51Updated 3 years ago
- ☆47Updated 5 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆81Updated 4 years ago
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆99Updated 2 years ago
- Transformer in RL for decision-making☆98Updated 2 years ago
- Jupyter notebook containing a solution to Sutton and Barto's gridworld problem with both a random agent and a Q-learning agent.☆30Updated 7 years ago
- Dynamic multi-cell selection for cooperative multipoint (CoMP) using (multi-agent) deep reinforcement learning☆61Updated last year
- implementation of MADDPG using PettingZoo and PyTorch☆136Updated last year
- ☆42Updated 3 years ago
- ☆11Updated last year
- a clean and robust Pytorch implementation of SAC on continuous action space☆72Updated this week