Various agents for learning and playing Infinite Mario domain from RLCompetition 2009. They encode different state representations and learning strategies.

Soar capabilities
  • Reinforcement learning
  • This agent is packaged with the Infinite Mario environment download.
External EnvironmentDefault Rules
  • None.
  • None
Associated Publications
  • Mohan, S. and Laird, J. E. (2011). An Object-Oriented Approach to Reinforcement Learning in an Action Game. In Proceedings of the Seventh Artificial Intelligence and Interactive Digital Entertainment.
  • Mohan, S. and Laird, J. E. (2010). Relational Reinforcement Learning in Infinite Mario (Extended Abstract). In Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence.
  • Mohan, S. and Laird, J. (2009). Learning to play Mario (Unrefereed). Center for Cognitive Architecture, University of Michigan, Tech. Rep. CCA-TR-2009-03
  • Shiwali Mohan
Soar Versions
  • Soar 9.3