xkiwilabs / DQN-using-PyTorch-and-ML-AgentsLinks
A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment
☆93Updated 6 years ago
Alternatives and similar repositories for DQN-using-PyTorch-and-ML-Agents
Users that are interested in DQN-using-PyTorch-and-ML-Agents are comparing it to the libraries listed below
Sorting:
- Proximal policy optimization in PyTorch. Easy to read and understand.☆51Updated 5 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆206Updated 3 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆176Updated 3 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆146Updated 6 years ago
- Playing Mountain-Car without reward engineering, by combining DQN and Random Network Distillation (RND)☆41Updated 6 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆145Updated 2 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆230Updated 3 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 5 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆331Updated 4 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- Lightweight multi-agent gridworld Gym environment☆211Updated 2 years ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆300Updated last year
- TF2 Implementation of the Soft Actor-Critic Algorithm☆44Updated 3 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆220Updated 2 years ago
- Clone of OpenAI's Spinning Up in PyTorch☆154Updated 3 years ago
- Gridworld for MARL experiments☆143Updated 4 years ago
- ☆91Updated 5 years ago
- PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)☆76Updated 5 years ago
- TorchingUp provides minimal implementations of common Reinforcement Learning algorithms written in PyTorch. It is meant to complement Ope…☆54Updated 3 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆214Updated 2 years ago
- research and implementations of Deep RL agents and their applications☆59Updated 3 months ago
- A curated list of reinforcement learning environments and frameworks.☆52Updated 6 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆105Updated 5 years ago
- An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…☆194Updated 3 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆120Updated last year
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆356Updated 5 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆84Updated 4 years ago