The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization
☆949Mar 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…☆10,282Apr 20, 2026Updated 3 months ago
- Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.☆1,486Mar 29, 2023Updated 3 years ago
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,375Jul 9, 2024Updated 2 years ago
- PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.☆13,707Updated this week
- Massively Parallel Deep Reinforcement Learning. 🔥☆4,353Feb 20, 2026Updated 5 months 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.
- Baseline implementation of recurrent PPO using truncated BPTT☆160Apr 28, 2024Updated 2 years ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆169May 9, 2023Updated 3 years ago
- This is the official implementation of Multi-Agent PPO (MAPPO).☆2,081Jul 18, 2024Updated 2 years ago
- C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.☆1,497Jul 17, 2026Updated last month
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,869Updated this week
- An elegant PyTorch deep reinforcement learning library.☆10,929Apr 3, 2026Updated 4 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 ）☆2,612Mar 13, 2025Updated last year
- OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.☆3,639Dec 7, 2025Updated 8 months ago
- An educational resource to help anyone learn deep reinforcement learning.☆11,901Aug 5, 2024Updated 2 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 simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-par…☆1,262Oct 1, 2024Updated last year
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,904May 29, 2022Updated 4 years ago
- A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.☆3,525Updated this week
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆729Jul 24, 2026Updated 3 weeks ago
- PPO with multi-head/autoregressive action outputs☆47Mar 4, 2021Updated 5 years ago
- High throughput synchronous and asynchronous reinforcement learning☆1,016Jul 2, 2026Updated last month
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,753Aug 1, 2024Updated 2 years ago
- RLHF implementation details of OAI's 2019 codebase☆198Jan 14, 2024Updated 2 years ago
- ☆24Feb 22, 2023Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A collection of reference environments for offline reinforcement learning☆1,699Nov 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.☆2,829Apr 29, 2024Updated 2 years ago
- ☆1,357May 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…☆1,372Aug 3, 2023Updated 3 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…☆1,436Nov 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 2 years ago
- Really Fast End-to-End Jax RL Implementations☆1,097Sep 9, 2024Updated last year
- 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.
- ☆269Mar 11, 2026Updated 5 months ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,651Mar 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…☆1,360Mar 13, 2025Updated last year
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆2,103Jul 14, 2023Updated 3 years ago
- RL Environments in JAX 🌍☆914Updated this week
- DRLib：a Concise Deep Reinforcement Learning Library, Integrating HER, PER and D2SR for Almost Off-Policy RL Algorithms.☆563Apr 2, 2024Updated 2 years ago
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.☆758Oct 26, 2022Updated 3 years ago