vwxyzjn / ppo-implementation-detailsLinks
The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization
☆781Updated last year
Alternatives and similar repositories for ppo-implementation-details
Users that are interested in ppo-implementation-details 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…☆985Updated 8 months ago
- A collection of reference environments for offline reinforcement learning☆1,505Updated 6 months ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,242Updated 2 months ago
- Code for conservative Q-learning☆446Updated 3 years ago
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆598Updated 2 weeks ago
- ☆407Updated last year
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,576Updated 10 months ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆545Updated 3 years ago
- A collection of MARL benchmarks based on TorchRL☆404Updated 3 weeks ago
- An elegant PyTorch offline reinforcement learning library for researchers.☆338Updated last year
- Related papers for reinforcement learning, including classic papers and latest papers in top conferences☆431Updated 2 months ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,880Updated last year
- Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.☆1,314Updated 2 years ago
- Official implementation of HARL algorithms based on PyTorch.☆704Updated last month
- NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark☆459Updated 3 months ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆600Updated 8 months ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆631Updated 4 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,307Updated last year
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.☆684Updated 2 years ago
- Clean PyTorch implementations of imitation and reward learning algorithms☆1,506Updated 4 months ago
- Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in Open…☆274Updated 2 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆361Updated 3 years ago
- Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"☆499Updated 2 years ago
- PyTorch implementation of soft actor critic☆882Updated 3 years ago
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,054Updated 10 months ago
- The repository is for safe reinforcement learning baselines.☆647Updated last month
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆744Updated 3 years ago
- Online Decision Transformer☆259Updated last year
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆678Updated last year
- Multi-Agent Reinforcement Learning with JAX☆581Updated this week