philtabor / Deep-Q-Learning-Paper-To-CodeLinks
☆406Updated last year
Alternatives and similar repositories for Deep-Q-Learning-Paper-To-Code
Users that are interested in Deep-Q-Learning-Paper-To-Code are comparing it to the libraries listed below
Sorting:
- ☆184Updated 3 years ago
- Reinforcement learning tutorials☆385Updated 2 years ago
- Repository for most of the code from my YouTube channel☆911Updated last year
- Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math☆421Updated 4 years ago
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆99Updated 2 years ago
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆547Updated 7 months ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆709Updated 3 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆342Updated 5 years ago
- Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51☆297Updated 5 years ago
- 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2☆607Updated 3 years ago
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆675Updated last year
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆333Updated 2 years ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆227Updated 4 months ago
- Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt☆1,223Updated last year
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆300Updated last year
- Reinforcement learning with tensorflow 2 keras☆252Updated 4 years ago
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆310Updated 2 years ago
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆409Updated 3 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆700Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,242Updated 2 months ago
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆598Updated 2 weeks ago
- A PyTorch library for building deep reinforcement learning agents.☆650Updated last year
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆627Updated 2 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆744Updated 3 years ago
- A collection of multi agent environments based on OpenAI gym.☆601Updated 10 months ago
- Deep Reinforcement Learning with Python, Second Edition, published by Packt☆194Updated 2 years ago
- Reinforcement Learning Algorithms Based on PyTorch☆448Updated 3 years ago
- PyTorch implementation of SAC-Discrete.☆302Updated 10 months ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆600Updated 8 months ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆687Updated last year