AleksandarHaber / Deep-Q-Learning-Network-from-Scratch-in-Python-TensorFlow-and-OpenAI-GymLinks
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.
☆20Updated 3 months 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
Sorting:
- ☆184Updated 3 years ago
- Practical tutorial on RLlib for deep hierarchical multi-agent reinforcement learning☆65Updated 2 years ago
- ☆412Updated 2 years ago
- ☆13Updated 2 years ago
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆115Updated last week
- Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch☆135Updated 5 years ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆347Updated 5 years ago
- Deep Reinforcement Learning with DQN, Double DQN, Dueling DQN, Noisy Net (Noisy DQN), and DQN with Prioritized Experience Replay☆98Updated 5 years ago
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆99Updated 2 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆65Updated 6 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆157Updated last year
- Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51☆305Updated 5 years ago
- Implementation of centralized training, centralized execution of Soft Actor-Critic (SAC) on a Tennis multiagent Unity environment.☆37Updated 4 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆350Updated 4 years ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆229Updated 5 months ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆140Updated last year
- Personal experiments on Reinforcement Learning☆116Updated 4 years ago
- Implementation for mSAC methods in PyTorch☆42Updated 3 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆92Updated 4 years ago
- Value-Decomposition Networks For Cooperative Multi-Agent Learning☆23Updated 4 years ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆69Updated last month
- Deep Reinforcement Learning with Python, Second Edition, published by Packt☆196Updated 2 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆180Updated last year
- Reinforcement learning tutorials☆386Updated 2 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆218Updated 6 years ago
- A Reinforcement Learning Project using PPO + LSTM☆86Updated last year
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆51Updated 4 months ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆53Updated 3 years ago
- multi-agent deep reinforcement learning for networked system control.☆420Updated 4 years ago