JORLDY: a fully customizable open source framework for reinforcement learning

04/11/2022
by   Kyushik Min, et al.
0

Recently, Reinforcement Learning (RL) has been actively researched in both academic and industrial fields. However, there exist only a few RL frameworks which are developed for researchers or students who want to study RL. In response, we propose an open-source RL framework "Join Our Reinforcement Learning framework for Developing Yours" (JORLDY). JORLDY provides more than 20 widely used RL algorithms which are implemented with Pytorch. Also, JORLDY supports multiple RL environments which include OpenAI gym, Unity ML-Agents, Mujoco, Super Mario Bros and Procgen. Moreover, the algorithmic components such as agent, network, environment can be freely customized, so that the users can easily modify and append algorithmic components. We expect that JORLDY will support various RL research and contribute further advance the field of RL. The source code of JORLDY is provided on the following Github: https://github.com/kakaoenterprise/JORLDY

READ FULL TEXT

page 4

page 6

page 7

research
01/04/2020

MushroomRL: Simplifying Reinforcement Learning Research

MushroomRL is an open-source Python library developed to simplify the pr...
research
12/01/2022

Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments

In reinforcement learning (RL) research, simulations enable benchmarks b...
research
12/22/2018

Escape Room: A Configurable Testbed for Hierarchical Reinforcement Learning

Recent successes in Reinforcement Learning have encouraged a fast-growin...
research
12/23/2022

NARS vs. Reinforcement learning: ONA vs. Q-Learning

One of the realistic scenarios is taking a sequence of optimal actions t...
research
07/03/2019

Reasoning and Generalization in RL: A Tool Use Perspective

Learning to use tools to solve a variety of tasks is an innate ability o...
research
10/21/2019

Towards a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control

Electric motors are used in many applications and their efficiency is st...
research
12/10/2019

Measuring the Reliability of Reinforcement Learning Algorithms

Lack of reliability is a well-known issue for reinforcement learning (RL...

Please sign up or login with your details

Forgot password? Click here to reset