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reward learning rl · avisingh599

Research code for robot reinforcement learning without reward engineering.

reinforcement-learningdeep-reinforcement-learningmachine-learningroboticsdeep-learning
Publisher repository ↗
reward learning rl · avisingh599 resource page screenshot
Resource screenshot · captured 2026-10-08 · visually reviewed

Overview

Research code for robot reinforcement learning without reward engineering.

Publisher summary: “[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering”

Use its repository to inspect the implementation, documentation and supported workflows. This directory record identifies the maintainer, code license and related resources; it does not claim that the project has been installed or tested on your robot.

Project information

Maintainer
avisingh599
Primary language
Python
Repository code license
Not specified
Model-weight license
Not recorded
Dataset license
Not recorded
Hardware design license
Not recorded
Maintenance
Not archived in the last recorded metadata
Last observed repository push
2022-11-22

Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.

Documentation sections

  • reward-learning-rl
  • Getting Started
  • Prerequisites
  • Conda Installation
  • Docker Installation
  • docker-compose

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