This is a library of agents,
environments and complete benchmarks that are used by the reinforcement
learning (RL) community for empirical analysis.
The UofA Reinforcement Learning Library is a dynamic entity that
requires the continual contribution of the RL community to grow
and develop. The majority of
the entries were collected form the 2005
NIPS workshop on reinforcement learning benchmarks and bakeoffs.
Many of the agents and environments were created by researches outside
the UofA. If you have an agent, environment, or benchmark that should
be
included, please feel free to add it to the
RL-Library!
If you have questions, comments, or concerns please email: 
Special thanks to Vasant Honavar
<http://www.cs.iastate.edu/~cs573x/> for help with the library
banner.