DeepAI AI Chat
Log In Sign Up

EasyRL: A Simple and Extensible Reinforcement Learning Framework

08/04/2020
by   Neil Hulbert, et al.
University of Washington
68

In recent years, Reinforcement Learning (RL), has become a popular field of study as well as a tool for enterprises working on cutting-edge artificial intelligence research. To this end, many researchers have built RL frameworks such as openAI Gym and KerasRL for ease of use. While these works have made great strides towards bringing down the barrier of entry for those new to RL, we propose a much simpler framework called EasyRL, by providing an interactive graphical user interface for users to train and evaluate RL agents. As it is entirely graphical, EasyRL does not require programming knowledge for training and testing simple built-in RL agents. EasyRL also supports custom RL agents and environments, which can be highly beneficial for RL researchers in evaluating and comparing their RL models.

READ FULL TEXT
12/07/2021

Godot Reinforcement Learning Agents

We present Godot Reinforcement Learning (RL) Agents, an open-source inte...
09/07/2022

Hearts Gym: Learning Reinforcement Learning as a Team Event

Amidst the COVID-19 pandemic, the authors of this paper organized a Rein...
03/10/2021

Using Cognitive Models to Train Warm Start Reinforcement Learning Agents for Human-Computer Interactions

Reinforcement learning (RL) agents in human-computer interactions applic...
12/10/2020

Reinforcement Learning Agents for Ubisoft's Roller Champions

In recent years, Reinforcement Learning (RL) has seen increasing popular...
12/14/2021

Representation and Invariance in Reinforcement Learning

If we changed the rules, would the wise trade places with the fools? Dif...
04/13/2021

Podracer architectures for scalable Reinforcement Learning

Supporting state-of-the-art AI research requires balancing rapid prototy...
05/27/2021

MarioMix: Creating Aligned Playstyles for Bots with Interactive Reinforcement Learning

In this paper, we propose a generic framework that enables game develope...