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Gavin Rens
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2020 – today
- 2023
- [c22]Wen-Chi Yang
, Giuseppe Marra, Gavin Rens, Luc De Raedt
Safe Reinforcement Learning via Probabilistic Logic Shields. IJCAI 2023: 5739-5749 - [c21]Wen-Chi Yang, Giuseppe Marra, Gavin Rens, Luc De Raedt:
Safe Reinforcement Learning via Probabilistic Logic Shields. NeSy 2023: 428-429 - [i10]Wen-Chi Yang, Giuseppe Marra, Gavin Rens, Luc De Raedt:
Safe Reinforcement Learning via Probabilistic Logic Shields. CoRR abs/2303.03226 (2023) - 2022
- [j4]Catherine Susan Price
An adaptive, probabilistic, cognitive agent architecture for modelling sugarcane growers' operational decision-making. South Afr. Comput. J. 34(1) (2022) - [c20]Ilio Boone, Gavin Rens:
Learning Optimal Behavior in Environments with Non-stationary Observations. ICAART (3) 2022: 729-736 - [i9]Gavin Rens, Wen-Chi Yang
Learning Probabilistic Temporal Safety Properties from Examples in Relational Domains. CoRR abs/2211.03461 (2022) - 2021
- [c19]Gavin Rens
Online Learning of non-Markovian Reward Models. ICAART (2) 2021: 74-86 - 2020
- [i8]Gavin Rens, Jean-François Raskin:
Learning Non-Markovian Reward Models in MDPs. CoRR abs/2001.09293 (2020) - [i7]David Maoujoud, Gavin Rens:
Reputation-driven Decision-making in Networks of Stochastic Agents. CoRR abs/2008.11791 (2020) - [i6]Gavin Rens, Jean-François Raskin, Raphaël Reynouad, Giuseppe Marra:
Online Learning of Non-Markovian Reward Models. CoRR abs/2009.12600 (2020)
2010 – 2019
- 2018
- [c18]Gavin Rens, Thomas Andreas Meyer:
Probabilistic Belief Update via Mixing Endogenous Actions and Exogenous Events. DKB/KIK@KI 2018: 41-54 - [c17]Gavin Rens
Maximizing Expected Impact in an Agent Reputation Network. KI 2018: 99-106 - [c16]Gavin Rens
Probabilistic Belief Revision via Similarity of Worlds Modulo Evidence. KI 2018: 343-356 - [i5]Gavin Rens, Abhaya Nayak, Thomas Meyer:
Maximizing Expected Impact in an Agent Reputation Network - Technical Report. CoRR abs/1805.05230 (2018) - 2017
- [j3]Gavin Rens
A hybrid POMDP-BDI agent architecture with online stochastic planning and plan caching. Cogn. Syst. Res. 43: 1-20 (2017) - [j2]Jude A. Adeleke
Integrating Statistical Machine Learning in a Semantic Sensor Web for Proactive Monitoring and Control. Sensors 17(4): 807 (2017) - [i4]Gavin Rens, Thomas Andreas Meyer:
Imagining Probabilistic Belief Change as Imaging (Technical Report). CoRR abs/1705.01172 (2017) - 2016
- [c15]Gavin Rens
A Stochastic Belief Change Framework with a Stream of Expiring Observations (Short Paper). ECAI 2016: 1557-1558 - [c14]Gavin Rens:
A Stochastic Belief Change Framework with an Observation Stream and Defaults as Expired Observations. DARe@ECAI 2016 - [c13]Gavin Rens, Gabriele Kern-Isberner:
An Approach to Qualitative Belief Change Modulo Ontic Strength. DARe@ECAI 2016 - [c12]Gavin Rens
On Revision of Partially Specified Convex Probabilistic Belief Bases. ECAI 2016: 921-929 - [i3]Gavin Rens:
On Stochastic Belief Revision and Update and their Combination. CoRR abs/1604.02126 (2016) - [i2]Gavin Rens, Thomas Andreas Meyer, Giovanni Casini:
Revising Incompletely Specified Convex Probabilistic Belief Bases. CoRR abs/1604.02133 (2016) - [i1]Gavin Rens, Deshendran Moodley:
A Hybrid POMDP-BDI Agent Architecture with Online Stochastic Planning and Plan Caching. CoRR abs/1607.00656 (2016) - 2015
- [c11]Gavin B. Rens, Thomas Meyer:
A New Approach to Probabilistic Belief Change. FLAIRS 2015: 581-587 - [c10]Gavin Rens
A Hybrid POMDP-BDI Agent Architecture with Online Stochastic Planning and Desires with Changing Intensity Levels. ICAART (Revised Selected Papers) 2015: 3-19 - [c9]Gavin Rens, Thomas Andreas Meyer:
Hybrid POMDP-BDI - An Agent Architecture with Online Stochastic Planning and Desires with Changing Intensity Levels. ICAART (1) 2015: 5-14 - [c8]Gavin Rens, Thomas Andreas Meyer, Gerhard Lakemeyer:
A Modal Logic for the Decision-Theoretic Projection Problem. ICAART (2) 2015: 5-16 - [c7]Gavin Rens
A Logic for Reasoning About Decision-Theoretic Projections. ICAART (Revised Selected Papers) 2015: 79-99 - [c6]Gavin Rens:
Speeding up Online POMDP Planning - Unification of Observation Branches by Belief-state Compression Via Expected Feature Values. ICAART (2) 2015: 241-246 - 2014
- [j1]Gavin Rens
SLAP: Specification logic of actions with probability. J. Appl. Log. 12(2): 128-150 (2014) - [c5]Gavin Rens
A Logic for Specifying Stochastic Actions and Observations. FoIKS 2014: 305-323 - 2013
- [c4]Gavin Rens
Belief-node condensation for online POMDP algorithms. AFRICON 2013: 1-5 - 2012
- [c3]Gavin Rens
A Logic for Specifying Agent Actions and Observations with Probability. STAIRS 2012: 252-263 - 2011
- [c2]Gavin Rens
From an Agent Logic to an Agent Programming Language for Partially Observable Stochastic Domains. IJCAI 2011: 2842-2843 - 2010
- [c1]Gavin Rens
A Logic for Reasoning about Actions and Explicit Observations. Australasian Conference on Artificial Intelligence 2010: 395-404
Coauthor Index
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