cyoon1729 / distributedRL
A framework for easy prototyping of distributed reinforcement learning algorithms
☆95Updated 4 years ago
Alternatives and similar repositories for distributedRL:
Users that are interested in distributedRL are comparing it to the libraries listed below
- Pytorch implementation of distributed deep reinforcement learning☆75Updated 2 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 3 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆218Updated 2 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆137Updated 2 years ago
- Keeping track of RL experiments☆162Updated 2 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆93Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆304Updated 3 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆171Updated 7 months ago
- PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)☆153Updated 5 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆212Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆137Updated 6 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆103Updated 2 weeks ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆217Updated last year
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆117Updated 4 months ago
- Random Network Distillation pytorch☆247Updated 6 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated 7 months ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆94Updated 4 years ago
- Pytorch implementation of intrinsic curiosity module with proximal policy optimization☆53Updated 6 years ago
- ☆92Updated 4 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆195Updated 2 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆131Updated 2 years ago
- Basic reinforcement learning implementation with tensorflow version 2.0☆52Updated 4 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆156Updated 2 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆125Updated 3 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆48Updated 4 years ago
- A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"☆128Updated last year
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆174Updated 2 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
- A Multi-agent Learning Framework☆62Updated 3 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago