Huixxi / TensorFlow2.0-for-Deep-Reinforcement-Learning
TensorFlow 2.0 for Deep Reinforcement Learning.
☆86Updated last year
Alternatives and similar repositories for TensorFlow2.0-for-Deep-Reinforcement-Learning:
Users that are interested in TensorFlow2.0-for-Deep-Reinforcement-Learning are comparing it to the libraries listed below
- Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"☆207Updated 3 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆174Updated 2 years ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆300Updated last year
- Prioritized Experience Replay (PER) implementation in PyTorch☆331Updated 5 years ago
- Proximal Policy Optimization implementation with TensorFlow☆106Updated 6 years ago
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆308Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆137Updated 6 years ago
- Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym☆176Updated 7 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆307Updated 3 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆122Updated 4 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆105Updated 5 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆211Updated last year
- 🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.☆69Updated 4 years ago
- Basic reinforcement learning implementation with tensorflow version 2.0☆52Updated 4 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆297Updated 2 years ago
- ☆183Updated 3 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆98Updated 5 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆117Updated 5 months ago
- ☆92Updated 4 years ago
- My implementation of the Proximal Policy Optisation algorithm using Keras as a backend☆88Updated 5 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 4 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆95Updated 4 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆180Updated 6 years ago
- Playing Mountain-Car without reward engineering, by combining DQN and Random Network Distillation (RND)☆40Updated 6 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆175Updated 8 months ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆63Updated 5 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆137Updated 2 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆286Updated 4 years ago
- Random Network Distillation pytorch☆247Updated 6 years ago