Gavin Rens

According to our database, Gavin Rens authored at least 32 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Safe Reinforcement Learning via Probabilistic Logic Shields.

Wen-Chi Yang, Giuseppe Marra, Gavin Rens, Luc De Raedt

Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

2022

Learning Probabilistic Temporal Safety Properties from Examples in Relational Domains.

Gavin Rens, Wen-Chi Yang, Jean-François Raskin, Luc De Raedt

CoRR, 2022

Learning Optimal Behavior in Environments with Non-stationary Observations.

Ilio Boone, Gavin Rens

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

2021

Online Learning of non-Markovian Reward Models.

Gavin Rens, Jean-François Raskin, Raphaël Reynouard, Giuseppe Marra

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2020

Online Learning of Non-Markovian Reward Models.

Gavin Rens, Jean-François Raskin, Raphaël Reynouad, Giuseppe Marra

CoRR, 2020

Reputation-driven Decision-making in Networks of Stochastic Agents.

David Maoujoud, Gavin Rens

CoRR, 2020

Learning Non-Markovian Reward Models in MDPs.

Gavin Rens, Jean-François Raskin

CoRR, 2020

2018

Maximizing Expected Impact in an Agent Reputation Network - Technical Report.

Gavin Rens, Abhaya Nayak, Thomas Meyer

CoRR, 2018

Maximizing Expected Impact in an Agent Reputation Network.

Gavin Rens, Abhaya Nayak, Thomas Andreas Meyer

Proceedings of the KI 2018: Advances in Artificial Intelligence, 2018

Probabilistic Belief Revision via Similarity of Worlds Modulo Evidence.

Gavin Rens, Thomas Andreas Meyer, Gabriele Kern-Isberner, Abhaya Nayak

Proceedings of the KI 2018: Advances in Artificial Intelligence, 2018

Probabilistic Belief Update via Mixing Endogenous Actions and Exogenous Events.

Gavin Rens, Thomas Andreas Meyer

Proceedings of the 7th Workshop on Dynamics of Knowledge and Belief (DKB-2018) and the 6th Workshop KI & Kognition (KIK-2018) co-located with 41st German Conference on Artificial Intelligence (KI 2018), 2018

2017

Integrating Statistical Machine Learning in a Semantic Sensor Web for Proactive Monitoring and Control.

Jude A. Adeleke, Deshendran Moodley, Gavin Rens, Aderemi Oluyinka Adewumi

Sensors, 2017

Imagining Probabilistic Belief Change as Imaging (Technical Report).

Gavin Rens, Thomas Andreas Meyer

CoRR, 2017

A hybrid POMDP-BDI agent architecture with online stochastic planning and plan caching.

Gavin Rens, Deshendran Moodley

Cogn. Syst. Res., 2017

2016

Revising Incompletely Specified Convex Probabilistic Belief Bases.

Gavin Rens, Thomas Andreas Meyer, Giovanni Casini

CoRR, 2016

On Stochastic Belief Revision and Update and their Combination.

Gavin Rens

CoRR, 2016

On Revision of Partially Specified Convex Probabilistic Belief Bases.

Gavin Rens, Thomas Andreas Meyer, Giovanni Casini

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

An Approach to Qualitative Belief Change Modulo Ontic Strength.

Gavin Rens, Gabriele Kern-Isberner

Proceedings of the International Workshop on Defeasible and Ampliative Reasoning (DARe-16) co-located with the 22th European Conference on Artificial Intelligence (ECAI 2016), 2016

A Stochastic Belief Change Framework with an Observation Stream and Defaults as Expired Observations.

Gavin Rens

Proceedings of the International Workshop on Defeasible and Ampliative Reasoning (DARe-16) co-located with the 22th European Conference on Artificial Intelligence (ECAI 2016), 2016

A Stochastic Belief Change Framework with a Stream of Expiring Observations (Short Paper).

Gavin Rens

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015

A Logic for Reasoning About Decision-Theoretic Projections.

Gavin Rens, Thomas Andreas Meyer, Gerhard Lakemeyer

Proceedings of the Agents and Artificial Intelligence - 7th International Conference, 2015

A Modal Logic for the Decision-Theoretic Projection Problem.

Gavin Rens, Thomas Andreas Meyer, Gerhard Lakemeyer

Proceedings of the ICAART 2015, 2015

A Hybrid POMDP-BDI Agent Architecture with Online Stochastic Planning and Desires with Changing Intensity Levels.

Gavin Rens, Thomas Andreas Meyer

Proceedings of the Agents and Artificial Intelligence - 7th International Conference, 2015

Hybrid POMDP-BDI - An Agent Architecture with Online Stochastic Planning and Desires with Changing Intensity Levels.

Gavin Rens, Thomas Andreas Meyer

Proceedings of the ICAART 2015, 2015

Speeding up Online POMDP Planning - Unification of Observation Branches by Belief-state Compression Via Expected Feature Values.

Gavin Rens

Proceedings of the ICAART 2015, 2015

A New Approach to Probabilistic Belief Change.

Gavin B. Rens, Thomas Meyer

Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

2014

SLAP: Specification logic of actions with probability.

Gavin Rens, Thomas Meyer, Gerhard Lakemeyer

J. Appl. Log., 2014

A Logic for Specifying Stochastic Actions and Observations.

Gavin Rens, Thomas Meyer, Gerhard Lakemeyer

Proceedings of the Foundations of Information and Knowledge Systems, 2014

2013

Belief-node condensation for online POMDP algorithms.

Gavin Rens, Alexander Ferrein

Proceedings of the AFRICON 2013, Pointe aux Piments, Mauritius, September 9-12, 2013, 2013

2012

A Logic for Specifying Agent Actions and Observations with Probability.

Gavin Rens, Gerhard Lakemeyer, Thomas Meyer

Proceedings of the STAIRS 2012, 2012

2011

From an Agent Logic to an Agent Programming Language for Partially Observable Stochastic Domains.

Gavin Rens

Proceedings of the IJCAI 2011, 2011

2010

A Logic for Reasoning about Actions and Explicit Observations.

Gavin Rens, Ivan José Varzinczak, Thomas Meyer, Alexander Ferrein

Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010