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: white email

Special thanks to Vasant Honavar <> for help with the library banner.

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