Topic: stable-baselines Goto Github
Some thing interesting about stable-baselines
Some thing interesting about stable-baselines
stable-baselines,Developed an highly customizable OpenAI gym environment and trained a stable_baselines3 PPO agent. Used the expert agent for Imitation Learning with DAgger
User: 7entropy7
stable-baselines,Deep Reinforcement Learning
User: alpine-chamois
stable-baselines,This project combines the power of reinforcement learning with a custom raycasting game engine written in Golang, reminiscent of the classic Wolf3D game.
User: andrewjc
stable-baselines,A graphical interface for reinforcement learning and gym-based environments.
User: andriusbern
stable-baselines,Teaching a neural network how to write letters and digits with reinforcement learning.
User: anthonydickson
stable-baselines,A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
User: araffin
Home Page: https://stable-baselines.readthedocs.io/
stable-baselines,Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
User: araffin
stable-baselines,A highly-customizable OpenAI gym environment to train & evaluate RL agents trading stocks and crypto.
User: astrologos
Home Page: https://www.github.com/astrologos/tradinggym
stable-baselines,NFVdeep: Deep Reinforcement Learning for Online Orchestration of Service Function Chains
Organization: cn-upb
stable-baselines,Pytorch Implementation of Policy Distillation for control, which has well-trained teachers via stable_baselines3.
User: cun-bjy
stable-baselines,RL training for quadruped robot(mit minicheetah) various gaits in different velocity based on MPC controller.
User: derek-th-wang
stable-baselines,An open source robot reinforcement learing plantform using stable-baselines and OpenAI Gym
User: derek-th-wang
stable-baselines,A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Organization: dlr-rm
Home Page: https://rl-baselines3-zoo.readthedocs.io
stable-baselines,A collection of pre-trained RL agents using Stable Baselines3
Organization: dlr-rm
Home Page: https://huggingface.co/sb3
stable-baselines,PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Organization: dlr-rm
Home Page: https://stable-baselines3.readthedocs.io
stable-baselines,This is the Tic-Tac-Toe game made with Python using the PyGame library and the Gym library to implement the AI with Reinforcement Learning
User: francofgp
stable-baselines,A trading bitcoin agent was created with deep reinforcement learning implementations.
User: giostamoulos
stable-baselines,Representing robots as graphs for reinforcement-learning in PyBullet locomotion environments.
User: hannesstark
stable-baselines,Reinforcement learning with Godot
User: hugotini
Home Page: https://hugotini.github.io/gymgodot
stable-baselines,Super Mario Reinforcement Learning (RL) Training Colab notebook with Stable Baseline3 Library
User: hululuzhu
stable-baselines,Training in bursts for defending against adversarial policies
Organization: humancompatibleai
stable-baselines,Stable Baselines官方文档中文版
User: ikeepo
stable-baselines, -Reinforcement Learning- (stablebaselines & gym)
User: keremcikikci
stable-baselines,Novel learned communication protocol for coordinating data distribution within collaborative robot teams
User: landonbutler
stable-baselines,Trying to implement Agar bot with DQN
User: lukaskiss222
stable-baselines,
User: lutakrystal305
stable-baselines,Mirror Descent Policy Optimization
User: manantomar
stable-baselines,Multi-step Greedy Reinforcement Learning Algorithms
User: manantomar
stable-baselines,RL vs. 1/n and Mean-Variance in the Portfolio Allocation Problem. A Bachelor's thesis at Utrecht University.
User: matus-jan-lavko
stable-baselines,A docker environment and notebooks to experiment with Generative Adversarial Imitation Learning and Formal Methods
User: nicholasrenninger
stable-baselines,一些簡單的遊戲,用來驗證強化學習中使用動作遮罩的效果及影響
Organization: ntut-selab
stable-baselines,RL Reach is a platform for running reproducible reinforcement learning experiments.
User: pierreexeter
Home Page: https://rl-reach.readthedocs.io/en/latest/index.html
stable-baselines,A basic implementation of imitation learning using Stable Baselines 2.10
User: prabhasak
Home Page: https://prabhasak.github.io/experience/masters-thesis
stable-baselines,An implementation of reinforcement learning using Stable Baselines 2.10, with several features and focus on reproducing results
User: prabhasak
Home Page: https://prabhasak.github.io/experience/masters-thesis
stable-baselines,Demo for hyperparameter tuning with tune using an DQN example from Udacity for OpenAI gym
User: rd-tobias-sunderdiek
stable-baselines,Distributed Online Service Coordination Using Deep Reinforcement Learning
Organization: realvnf
stable-baselines,Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning
User: rpatrik96
stable-baselines,A well-documented A2C written in PyTorch
User: rpatrik96
stable-baselines,Snake game environment integrated with OpenAI Gym. Proximal Policy Optimization (PPO) implementation for training. Visualization of training progress and agent performance. Easy to understand code.
User: rsgoksel
stable-baselines,MovieLens recommendation system using reinforcement learning (GYM + PPO)
User: sadighian
stable-baselines,The code release of "Real-time Active Vision for a Humanoid Soccer Robot Using Deep Reinforcement Learning" paper, ICAART 2021
User: soheilkhatibi
stable-baselines,Colab notebooks part of the documentation of Stable Baselines reinforcement learning library
Organization: stable-baselines-team
Home Page: https://stable-baselines.readthedocs.io/
stable-baselines,Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Organization: stable-baselines-team
Home Page: https://github.com/hill-a/stable-baselines
stable-baselines,Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
Organization: stable-baselines-team
Home Page: https://sb3-contrib.readthedocs.io
stable-baselines,An open, minimalist Gymnasium environment for autonomous coordination in wireless mobile networks.
User: stefanbschneider
Home Page: https://mobile-env.readthedocs.io
stable-baselines,Experiments with multiple reinforcement ML algorithms to learn how to beat Street Fighter II
User: tqualizer
stable-baselines,
Organization: usc-csci527-spring2021
Home Page: https://vizdoombot2021.netlify.app/
stable-baselines,
User: wangcongrobot
stable-baselines,A snake game Box environment for Reinforcement Learning, both CNN and Grid based environments included.
User: waqasisme
stable-baselines,A few things I learned while learning about machine learning.
User: yashk2000
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.