The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization
☆945Mar 23, 2024Updated 2 years ago
Alternatives and similar repositories for ppo-implementation-details
Users that are interested in ppo-implementation-details are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆10,183Apr 20, 2026Updated 3 months ago
- Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.☆1,483Mar 29, 2023Updated 3 years ago
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,369Jul 9, 2024Updated 2 years ago
- PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.☆13,629Updated this week
- Massively Parallel Deep Reinforcement Learning. 🔥☆4,352Feb 20, 2026Updated 5 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Baseline implementation of recurrent PPO using truncated BPTT☆161Apr 28, 2024Updated 2 years ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆168May 9, 2023Updated 3 years ago
- This is the official implementation of Multi-Agent PPO (MAPPO).☆2,068Jul 18, 2024Updated 2 years ago
- C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.☆1,488Jul 17, 2026Updated last week
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,864Jul 18, 2026Updated last week
- An elegant PyTorch deep reinforcement learning library.☆10,896Apr 3, 2026Updated 3 months ago
- PPO x Family DRL Tutorial Course(决策智能入门级公开课:8节课帮你盘清算法理论,理顺代码逻辑,玩转决策AI应用实践 )☆2,605Mar 13, 2025Updated last year
- OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.☆3,635Dec 7, 2025Updated 7 months ago
- An educational resource to help anyone learn deep reinforcement learning.☆11,868Aug 5, 2024Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-par…☆1,257Oct 1, 2024Updated last year
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,905May 29, 2022Updated 4 years ago
- A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.☆3,507Updated this week
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆729Updated this week
- PPO with multi-head/autoregressive action outputs☆47Mar 4, 2021Updated 5 years ago
- High throughput synchronous and asynchronous reinforcement learning☆1,011Jul 2, 2026Updated 3 weeks ago
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,748Aug 1, 2024Updated last year
- RLHF implementation details of OAI's 2019 codebase☆198Jan 14, 2024Updated 2 years ago
- ☆24Feb 22, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A collection of reference environments for offline reinforcement learning☆1,694Nov 18, 2024Updated last year
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆211Jun 18, 2024Updated 2 years ago
- Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.☆2,823Apr 29, 2024Updated 2 years ago
- ☆1,353May 27, 2024Updated 2 years ago
- High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC…☆1,370Aug 3, 2023Updated 2 years ago
- ☆12Jun 17, 2022Updated 4 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,434Nov 29, 2023Updated 2 years ago
- [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.☆880Aug 12, 2024Updated last year
- Really Fast End-to-End Jax RL Implementations☆1,093Sep 9, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,646Mar 24, 2023Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,356Mar 13, 2025Updated last year
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆2,098Jul 14, 2023Updated 3 years ago
- RL Environments in JAX 🌍☆910Apr 2, 2026Updated 3 months ago
- DRLib:a Concise Deep Reinforcement Learning Library, Integrating HER, PER and D2SR for Almost Off-Policy RL Algorithms.☆564Apr 2, 2024Updated 2 years ago
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.☆757Oct 26, 2022Updated 3 years ago
- Code for the paper Fine-Tuning Language Models from Human Preferences☆1,393Jul 25, 2023Updated 3 years ago