nikhilbarhate99 / PPO-PyTorchLinks
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
☆2,107Updated last year
Alternatives and similar repositories for PPO-PyTorch
Users that are interested in PPO-PyTorch are comparing it to the libraries listed below
Sorting:
- A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-par…☆1,026Updated 9 months ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,902Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,263Updated 4 months ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,371Updated 2 years ago
- Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.☆1,344Updated 2 years ago
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,620Updated last year
- The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization☆806Updated last year
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,799Updated 3 years ago
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,483Updated last month
- Python Multi-Agent Reinforcement Learning framework☆2,048Updated 2 years ago
- PyTorch implementation of soft actor critic☆895Updated this week
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,604Updated 2 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,229Updated 4 years ago
- Collection of reinforcement learning algorithms☆2,723Updated last year
- SMAC: The StarCraft Multi-Agent Challenge☆1,230Updated last year
- A collection of reference environments for offline reinforcement learning☆1,525Updated 8 months ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,967Updated last month
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,318Updated last year
- Simple A3C implementation with pytorch + multiprocessing☆647Updated 2 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,080Updated 4 years ago
- Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch☆524Updated 7 years ago
- ☆991Updated 2 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,282Updated 5 years ago
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,831Updated last year
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,603Updated last year
- One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)☆1,119Updated 7 months ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆758Updated last year
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆3,033Updated 2 years ago
- Clean PyTorch implementations of imitation and reward learning algorithms☆1,532Updated 6 months ago
- Massively Parallel Deep Reinforcement Learning. 🔥☆4,090Updated last week