| A Bayesian sampling approach to exploration in reinforcement learning J Asmuth, L Li, ML Littman, A Nouri, D Wingate arXiv preprint arXiv:1205.2664, 2012 | 209 | 2012 |
| The first probabilistic track of the international planning competition HLS Younes, ML Littman, D Weissman, J Asmuth Journal of Artificial Intelligence Research 24, 851-887, 2005 | 202 | 2005 |
| Potential-based Shaping in Model-based Reinforcement Learning. J Asmuth, ML Littman, R Zinkov AAAI, 604-609, 2008 | 111 | 2008 |
| Learning is planning: near Bayes-optimal reinforcement learning via Monte-Carlo tree search J Asmuth, ML Littman arXiv preprint arXiv:1202.3699, 2012 | 56 | 2012 |
| Approaching Bayes-optimalilty using Monte-Carlo tree search J Asmuth, ML Littman Proc. 21st Int. Conf. Automat. Plan. Sched., Freiburg, Germany, 2011 | 34 | 2011 |
| Model-based Bayesian reinforcement learning with generalized priors JT Asmuth Rutgers The State University of New Jersey, School of Graduate Studies, 2013 | 4 | 2013 |
| Pac-mdp reinforcement learning with bayesian priors J Asmuth, L Li, ML Littman, A Nouri, D Wingate | 1 | 2009 |
| BFS3 Proof of Optimality J Asmuth, M Littman Rutgers University, 2011 | | 2011 |
| RLMario: A New Reinforcement Learning Domain J Asmuth, C Mansley | | |
