slimevolleygym

A simple OpenAI Gym environment for single and multi-agent reinforcement learning (by hardmaru)
Add to my DEV experience Suggest topics
Source Code
slimevolleygym Reviews
Suggest alternative
Edit details
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.
www.influxdata.com
featured

Slimevolleygym Alternatives

Similar projects and alternatives to slimevolleygym

  • ml-agents

    60 slimevolleygym VS ml-agents

    The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

  • ultimate-volleyball

    13 slimevolleygym VS ultimate-volleyball

    3D RL Volleyball environment built on Unity ML-Agents

  • InfluxDB

    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.

    InfluxDB logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better slimevolleygym alternative or higher similarity.
Suggest an alternative to slimevolleygym

slimevolleygym reviews and mentions

Posts with mentions or reviews of slimevolleygym. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-10.
  • How to train multi agents with PPO/DQN for playing Atari Game
    1 project | /r/reinforcementlearning | 27 Feb 2022
    This is a good example for self-play training Slime Volleyball
  • RL framework for 2v2 kart soccer
    1 project | /r/reinforcementlearning | 17 Nov 2021
    Hi great that you are interested in the area, but as a beginner project is quite complex, having a team is a multi-agent task so not a small feat and i guess you want the same policy to play against itself? what is know as selfplay. which is not so hard to understand but a little bit in the tech part. Look a this 1v1 environment has a tutorial where they show selfplay and other single agent approaches using a well known RL Pytorch implementations. and for the policy optimization algorithm as the tutorial before you should go with PPO (which is a on-policy method like reinforce). there is something called HER for sparse reward but it works with off-policy methods like ddpg or sac. read a little bit more about this and then you will get the idea. My suggestion if you dont have extend experience try a supervise learning approach, where you have a dataset where the action is the label to be predicted and the observation is the input, MSE for the loss. like predicting the stering wheel angle from the image of the road kind of setup.
  • 🏐 Ultimate Volleyball: A 3D Volleyball environment built using Unity ML-Agents
    3 projects | dev.to | 10 Aug 2021
    Inspired by Slime Volleyball Gym, I built a 3D Volleyball environment using Unity's ML-Agents toolkit. The full project is open-source and available at: 🏐 Ultimate Volleyball.
  • A note from our sponsor - SaaSHub
    www.saashub.com | 10 May 2024
    SaaSHub helps you find the best software and product alternatives Learn more →

Stats

Basic slimevolleygym repo stats
3
698
3.2
5 months ago

hardmaru/slimevolleygym is an open source project licensed under Apache License 2.0 which is an OSI approved license.

The primary programming language of slimevolleygym is Python.

Popular Comparisons

  1. slimevolleygym VS ml-agents
  2. slimevolleygym VS ultimate-volleyball

Sponsored
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com