archsyscall / DeepRL-TensorFlow2Links
π Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
β607Updated 3 years ago
Alternatives and similar repositories for DeepRL-TensorFlow2
Users that are interested in DeepRL-TensorFlow2 are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of deep reinforcement learning algorithmsβ491Updated 4 years ago
- Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)β551Updated 5 years ago
- Reinforcement Learning Algorithms Based on PyTorchβ452Updated 4 years ago
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]β315Updated 3 years ago
- Reinforcement learning tutorialsβ397Updated 2 years ago
- TensorFlow2 Reinforcement Learningβ475Updated 3 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.β741Updated 3 years ago
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...β420Updated 4 years ago
- Structural implementation of RL key algorithmsβ516Updated 2 years ago
- Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51β318Updated 5 years ago
- β187Updated 3 years ago
- Stable-Baselines tutorial for JournΓ©es Nationales de la Recherche en Robotique 2019β724Updated 2 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duelβ¦β692Updated last month
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QTβ¦β1,330Updated 10 months ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019β785Updated 3 years ago
- Prioritized Experience Replay (PER) implementation in PyTorchβ357Updated 6 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.β1,196Updated 3 years ago
- Simple A3C implementation with pytorch + multiprocessingβ659Updated 2 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retroβ178Updated 3 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorchβ1,082Updated 4 years ago
- A collection of multi agent environments based on OpenAI gym.β629Updated last year
- β436Updated 2 years ago
- List of competitions related to Reinforcement Learningβ350Updated 2 years ago
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.β991Updated 8 months ago
- PyTorch implementation of soft actor criticβ933Updated 6 months ago
- Reinforcement learning with tensorflow 2 kerasβ252Updated 4 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)β772Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official impβ¦β1,400Updated 2 years ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototypingβ301Updated last year
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.β611Updated 8 years ago