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The reinforcement learning library is a library of agents, environment, and experiments that are compatible with RL-Glue and potentially RL-Viz.

All of the components in the RL-Library should be compatible with RL-Glue 3.

Introduction

Check out the new homepage for RL-Library: http://library.rl-community.org

Before you get started, you should really check out the getting started documentation.

We've also added a tutorial about running graphical experiments.

We've started packaging up standalone, compiled versions of the Java projects from RL-Library. Check out the Wiki for links to specific pages.

Current Library Contents

Environments

Agents

Experiments

There are also other projects available if you checkout the whole project from subversion. They include sample RL-Glue and RL-Viz experiments, a continuous grid world environment, the Octopus environment, a key-board control agent that can be used with RL-Viz, and a few other tidbits. We'll be working on getting them packaged up and getting some wiki documentation ready in the next little while.

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