| A hybrid POMDP-BDI agent architecture with online stochastic planning and plan caching G Rens, D Moodley Cognitive Systems Research 43, 1-20, 2017 | 13 | 2017 |
| A Belief-Desire-Intention Architecture with a Logic-Based Planner for Agents in Stochastics Domains GB Rens University of South Africa, 2010 | 11 | 2010 |
| Integrating statistical machine learning in a semantic sensor web for proactive monitoring and control JA Adeleke, D Moodley, G Rens, AO Adewumi Sensors 17 (4), 807, 2017 | 10 | 2017 |
| On revision of partially specified convex probabilistic belief bases G Rens, T Meyer, G Casini IOS Press, 2016 | 10 | 2016 |
| BDI agent architecture for a POMDP planner G Rens, A Ferrein, E Van Der Poel | 10 | 2009 |
| SLAP: Specification logic of actions with probability G Rens, T Meyer, G Lakemeyer Journal of Applied Logic 12 (2), 128-150, 2014 | 8 | 2014 |
| On stochastic belief revision and update and their combination G Rens arXiv preprint arXiv:1604.02126, 2016 | 7 | 2016 |
| A new approach to probabilistic belief change G Rens, T Meyer AAAI Publications, 2015 | 7 | 2015 |
| On the logical specification of probabilistic transition models G Rens, T Meyer, G Lakemeyer Proceedings of the Eleventh International Symposium on Logical …, 2013 | 7 | 2013 |
| A logic for reasoning about actions and explicit observations G Rens, I Varzinczak, T Meyer, A Ferrein Australasian Joint Conference on Artificial Intelligence, 395-404, 2010 | 6 | 2010 |
| A logic for specifying stochastic actions and observations G Rens, T Meyer, G Lakemeyer International Symposium on Foundations of Information and Knowledge Systems …, 2014 | 5 | 2014 |
| Belief-node condensation for online POMDP algorithms G Rens, A Ferrein 2013 Africon, 1-5, 2013 | 5 | 2013 |
| A logic for reasoning about decision-theoretic projections G Rens, T Meyer, G Lakemeyer International Conference on Agents and Artificial Intelligence, 79-99, 2015 | 4* | 2015 |
| A Stochastic Belief Change Framework with an Observation Stream and Defaults as Expired Observations. G Rens DARe@ ECAI, 2016 | 3 | 2016 |
| Formalisms for agents reasoning with stochastic actions and perceptions. GB Rens | 3 | 2014 |
| A Logic for Specifying Agent Actions and Observations with Probability. G Rens, G Lakemeyer, T Meyer STAIRS, 252-263, 2012 | 3 | 2012 |
| Partially observable Markov decision logic, Part I: Introducing explicit observation constants G Rens, I Varzinczak, T Meyer KRR-10-01. Tech. rep., Knowledge Representation and Reasoning, Meraka …, 2010 | 3 | 2010 |
| Extending DTGolog to deal with POMDPs G Rens, A Ferrein, E Van Der Poel PRASA, 2008 | 3 | 2008 |
| Learning non-markovian reward models in mdps G Rens, JF Raskin arXiv preprint arXiv:2001.09293, 2020 | 2 | 2020 |
| Revising incompletely specified convex probabilistic belief bases G Rens, T Meyer, G Casini arXiv preprint arXiv:1604.02133, 2016 | 2 | 2016 |
Thomas MeyerProfessor in Computer Science, University of Cape Town; Co-Director of CAIR (cair.org.za)Verified email at cs.uct.ac.za
