Gavin Rens

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Thomas MeyerProfessor in Computer Science, University of Cape Town; Co-Director of CAIR (cair.org.za)Verified email at uct.ac.za
Gerhard LakemeyerProfessor of Computer Science, RWTH Aachen UniversityVerified email at cs.rwth-aachen.de
Alexander FerreinProfessor of Robotics, Mobile Autonomous Systems & Cognitive Robotics Institute, FH AachenVerified email at fh-aachen.de
Deshendran MoodleyAssociate Professor: Computer Science, University of Cape TownVerified email at cs.uct.ac.za
Jean-François RaskinUniversité Libre de Bruxelles, U.L.B.Verified email at ulb.ac.be
Ivan VarzinczakProfessor, Limics, Université Sorbonne Paris NordVerified email at sorbonne-paris-nord.fr
Giuseppe MarraKU LeuvenVerified email at kuleuven.be
Etienne van der PoelUniversity of South Africa, College of Science, Engineering, Technology, Computer ScienceVerified email at unisa.ac.za
Abhaya NayakMacquarie UniversityVerified email at mq.edu.au
Wen-Chi YangKU LeuvenVerified email at kuleuven.be
Luc De Raedtprofessor, KU Leuven & guestprofessor, Örebro UniversityVerified email at cs.kuleuven.be
Jude A. AdelekeNational Space Research and Development AgencyVerified email at nasrda.gov.ng
Giovanni CasiniCNR - ISTIVerified email at isti.cnr.it
Raphaël ReynouardScientist, EawagVerified email at eawag.ch
Gabriele Kern-IsbernerProfessor Computer ScienceVerified email at cs.uni-dortmund.de
Catherine Susan PriceLecturer, University of KwaZulu-NatalVerified email at ukzn.ac.za
Anban W. PillaySchool of Mathematics, Statistics and Computer Science, University of KwaZulu-NatalVerified email at ukzn.ac.za

Gavin Rens

Stellenbosch University, South African

Verified email at sun.ac.za - Homepage

Knowledge Representation Planning Reinforcement Learning


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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	32	2017
A hybrid POMDP-BDI agent architecture with online stochastic planning and plan caching G Rens, D Moodley Cognitive Systems Research 43, 1-20, 2017	29	2017
Safe Reinforcement Learning via Probabilistic Logic Shields WC Yang, G Marra, G Rens, L De Raedt Thirty-Second International Joint Conference on Artificial Intelligence …, 2023	20	2023
Learning non-Markovian reward models in MDPs G Rens, JF Raskin arXiv preprint arXiv:2001.09293, 2020	18	2020
Online Learning of Non-Markovian Reward Models G Rens, JF Raskin, R Reynouad, G Marra Thirteenth International Conference on Agents and Artificial Intelligence …, 2021	17	2021
BDI agent architecture for a POMDP planner G Rens, A Ferrein, E Van der Poel	13	2009
A Belief-Desire-Intention Architecture with a Logic-Based Planner for Agents in Stochastics Domains GB Rens University of South Africa, 2010	12	2010
On revision of partially specified convex probabilistic belief bases G Rens, T Meyer, G Casini ECAI 2016, 921-929, 2016	10	2016
A new approach to probabilistic belief change GB Rens, T Meyer The Twenty-Eighth International Flairs Conference, 2015	8	2015
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
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	7	2010
A logic for specifying stochastic actions and observations G Rens, T Meyer, G Lakemeyer Foundations of Information and Knowledge Systems: 8th International …, 2014	6	2014
A logic for reasoning about decision-theoretic projections G Rens, T Meyer, G Lakemeyer Agents and Artificial Intelligence: 7th International Conference, ICAART …, 2015	5*	2015
Belief-node condensation for online POMDP algorithms G Rens, A Ferrein 2013 Africon, 1-5, 2013	5	2013
Maximizing Expected Impact in an Agent Reputation Network--Technical Report G Rens, A Nayak, T Meyer arXiv preprint arXiv:1805.05230, 2018	3	2018
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 2012, 252-263, 2012	3	2012

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