A Logic for Reasoning about Actions and Explicit Observations. - Gavin Rens; Ivan Varzinczak; Thomas Meyer 002; Alexander Ferrein (Australasian Conference on Artificial Intelligence, 2010)

From an Agent Logic to an Agent Programming Language for Partially Observable Stochastic Domains. - Gavin Rens (IJCAI, 2011)

A Logic for Specifying Agent Actions and Observations with Probability. - Gavin Rens; Gerhard Lakemeyer; Thomas Meyer 002 (STAIRS, 2012)

Belief-node condensation for online POMDP algorithms. - Gavin Rens; Alexander Ferrein (AFRICON, 2013)

A Logic for Specifying Stochastic Actions and Observations. - Gavin Rens; Thomas Meyer 002; Gerhard Lakemeyer (FoIKS, 2014)

SLAP: Specification logic of actions with probability. - Gavin Rens; Thomas Meyer 002; Gerhard Lakemeyer (J. Appl. Log., 2014)

A New Approach to Probabilistic Belief Change. - Gavin B. Rens; Thomas Meyer 002 (FLAIRS, 2015)

Speeding up Online POMDP Planning - Unification of Observation Branches by Belief-state Compression Via Expected Feature Values. - Gavin Rens (ICAART (2), 2015)

Hybrid POMDP-BDI - An Agent Architecture with Online Stochastic Planning and Desires with Changing Intensity Levels. - Gavin Rens; Thomas Andreas Meyer (ICAART (1), 2015)

A Hybrid POMDP-BDI Agent Architecture with Online Stochastic Planning and Desires with Changing Intensity Levels. - Gavin Rens; Thomas Andreas Meyer (ICAART (Revised Selected Papers), 2015)

A Modal Logic for the Decision-Theoretic Projection Problem. - Gavin Rens; Thomas Andreas Meyer; Gerhard Lakemeyer (ICAART (2), 2015)

A Logic for Reasoning About Decision-Theoretic Projections. - Gavin Rens; Thomas Andreas Meyer; Gerhard Lakemeyer (ICAART (Revised Selected Papers), 2015)

A Stochastic Belief Change Framework with a Stream of Expiring Observations (Short Paper). - Gavin Rens (ECAI, 2016)

A Stochastic Belief Change Framework with an Observation Stream and Defaults as Expired Observations. - Gavin Rens (DARe@ECAI, 2016)

An Approach to Qualitative Belief Change Modulo Ontic Strength. - Gavin Rens; Gabriele Kern-Isberner (DARe@ECAI, 2016)

On Revision of Partially Specified Convex Probabilistic Belief Bases. - Gavin Rens; Thomas Andreas Meyer; Giovanni Casini (ECAI, 2016)

On Stochastic Belief Revision and Update and their Combination. - Gavin Rens (CoRR, 2016)

Revising Incompletely Specified Convex Probabilistic Belief Bases. - Gavin Rens; Thomas Andreas Meyer; Giovanni Casini (CoRR, 2016)

A hybrid POMDP-BDI agent architecture with online stochastic planning and plan caching. - Gavin Rens; Deshendran Moodley (Cogn. Syst. Res., 2017)

Imagining Probabilistic Belief Change as Imaging (Technical Report). - Gavin Rens; Thomas Andreas Meyer (CoRR, 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)

Probabilistic Belief Update via Mixing Endogenous Actions and Exogenous Events. - Gavin Rens; Thomas Andreas Meyer (DKB/KIK@KI, 2018)

Probabilistic Belief Revision via Similarity of Worlds Modulo Evidence. - Gavin Rens; Thomas Andreas Meyer; Gabriele Kern-Isberner; Abhaya Nayak (KI, 2018)

Maximizing Expected Impact in an Agent Reputation Network. - Gavin Rens; Abhaya Nayak; Thomas Andreas Meyer (KI, 2018)

Maximizing Expected Impact in an Agent Reputation Network - Technical Report. - Gavin Rens; Abhaya Nayak; Thomas Meyer 002 (CoRR, 2018)

Learning Non-Markovian Reward Models in MDPs. - Gavin Rens; Jean-François Raskin (CoRR, 2020)

Reputation-driven Decision-making in Networks of Stochastic Agents. - David Maoujoud; Gavin Rens (CoRR, 2020)

Online Learning of Non-Markovian Reward Models. - Gavin Rens; Jean-François Raskin; Raphaël Reynouad; Giuseppe Marra (CoRR, 2020)

Online Learning of non-Markovian Reward Models. - Gavin Rens; Jean-François Raskin; Raphaël Reynouard; Giuseppe Marra (ICAART (2), 2021)

Learning Optimal Behavior in Environments with Non-stationary Observations. - Ilio Boone; Gavin Rens (ICAART (3), 2022)

Learning Probabilistic Temporal Safety Properties from Examples in Relational Domains. - Gavin Rens; Wen-Chi Yang; Jean-François Raskin; Luc De Raedt (CoRR, 2022)

An adaptive, probabilistic, cognitive agent architecture for modelling sugarcane growers' operational decision-making. - Catherine Susan Price; Deshen Moodley; Anban W. Pillay; Gavin Rens (South Afr. Comput. J., 2022)

Safe Reinforcement Learning via Probabilistic Logic Shields. - Wen-Chi Yang; Giuseppe Marra; Gavin Rens; Luc De Raedt (IJCAI, 2023)

Proposing Hierarchical Goal-Conditioned Policy Planning in Multi-Goal Reinforcement Learning. - Gavin B. Rens (ICAART (1), 2025)

Belief Re-Use in Partially Observable Monte Carlo Tree Search. - Ebert Theeuwes; Gabriele Venturato; Gavin Rens (ICAART (2), 2025)

A Two-Phase Safe Reinforcement Learning Framework for Finding the Safe Policy Space. - A. J. Westley; Gavin Rens (ICAART (2), 2025)