Doing a clone of Rocket League for AI experiments. Trained an agent to air dribble the ball.

This page summarizes the projects mentioned and recommended in the original post on /r/Unity3D

Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
  • RoboLeague

    A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.

  • The aerial control and physics are already identical to the game. Same for the ball. What is not identical yet is the ground physics of the car and car-ball interaction. My Github repo has more details:

  • 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.

  • I'd say hard coding AI for strategy games would be much harder :) Here, with Unity ML agents, I have to provide rewards for the agent and set up the functionality of the "game" and the rest the AI learns on its own. You may check up unity ml agents examples to see how it's done.

  • 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
  • RLBot

    A framework that allows people to write their own Rocket League bots.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts