RL-Viz provides the reinforcement learning community for the first time ever with a flexible, general, standardized, cross language and cross platform protocol/framework for managing and visualizing the interaction between agents and environments in reinforcement learning experiments. RL-Viz is a protocol and library written on top of RL-Glue, a proposed standard communication protocol for reinforcement learning.

RL-Glue is a language and platform-independent protocol for evaluating reinforcement-learning agents with environment programs. RL-Glue separates the agent and environment development process so that each can be written in different languages, and even executed over the Internet from different computers.

RL-Viz is a project layered over RL-Glue. RL-Viz supports advanced features such as visualization of environments and agents and run-time loading of agents and environments.

RL-Viz is being used as the foundation for the upcoming Reinforcement Learning Competition, between November 2007 and May 2008, culminating in an event at the International Conference on Machine Learning 2008.

RL-Viz is heavily used in the currently being released RL-Library.

This Project is not really live Yet

We're still developing infrastructure and working kinks out in preparation for the first official release of RL-Viz. Stay tuned.