Top 9 policy-gradient Open-Source Projects

• tianshou

  8 7,528 9.5 Python

  An elegant PyTorch deep reinforcement learning library.

  

Project mention: Is it better to not use the Target Update Frequency in Double DQN or depends on the application? | /r/reinforcementlearning | 2023-07-05

The tianshou implementation I found at https://github.com/thu-ml/tianshou/blob/master/tianshou/policy/modelfree/dqn.py is DQN by default.

• Scout Monitoring

  www.scoutapm.com featured

  Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.

  

• PPO-PyTorch

  2 1,527 2.8 Python

  Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

• HandyRL

  1 282 4.3 Python

  HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.

  

• pytorch-learn-reinforcement-learning

  3 143 0.0 Python

  A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.

• episodic-transformer-memory-ppo

  5 120 3.4 Python

  Clean baseline implementation of PPO using an episodic TransformerXL memory

Project mention: Question about Transformer model input in RL | /r/reinforcementlearning | 2023-06-17

Check out this implementation https://github.com/MarcoMeter/episodic-transformer-memory-ppo

• recurrent-ppo-truncated-bptt

  6 108 3.2 Jupyter Notebook

  Baseline implementation of recurrent PPO using truncated BPTT

• nes-torch

  3 17 3.6 Python

  Minimal PyTorch Library for Natural Evolution Strategies

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• pbo

  1 14 3.0 Python

  Policy-based optimization : single-step policy gradient seen as an evolution strategy

• snakeAI

  1 10 5.3 C++

  testing MLP, DQN, PPO, SAC, policy-gradient by snake

policy-gradient related posts

• Is it better to not use the Target Update Frequency in Double DQN or depends on the application?

  1 project | /r/reinforcementlearning | 5 Jul 2023

• 他們能回來嗎

  1 project | /r/real_China_irl | 25 Feb 2023

• Multi-Agent Stable Baselines

  2 projects | /r/reinforcementlearning | 2 Feb 2023

• Question about the old policy and new policy in TRPO code

  4 projects | /r/reinforcementlearning | 6 Jul 2022

• Tensorflow vs PyTorch for A3C

  4 projects | /r/reinforcementlearning | 17 Nov 2021

• "Tianshou: a Highly Modularized Deep Reinforcement Learning Library", Weng et al 2021 (Python PyTorch MuJuCo; PPO, DQN, A2C, DDPG, SAC, TD3, REINFORCE, NPG, TRPO, ACKTR)

  1 project | /r/ResearchML | 12 Aug 2021

• "Tianshou: a Highly Modularized Deep Reinforcement Learning Library", Weng et al 2021 (Python PyTorch MuJuCo; PPO, DQN, A2C, DDPG, SAC, TD3, REINFORCE, NPG, TRPO, ACKTR)

  1 project | /r/reinforcementlearning | 10 Aug 2021
• A note from our sponsor - Scout Monitoring
  www.scoutapm.com | 12 Jun 2024

  Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today. Learn more →

Index

Sponsored

Free Django app performance insights with Scout Monitoring

Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.

www.scoutapm.com