Marek Grzes

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 31

Top Venues

CoRR

AAMAS

Neural Comput.

Neural Networks

University of York, UK (PHD)

Education History

University of York, UK

PHD

Publications

Théophile Champion, Marek Grzes, Lisa Bonheme, Howard Bowman
Deconstructing deep active inference. CoRR (2023)
Lisa Bonheme, Marek Grzes
The Polarised Regime of identifiable Variational Autoencoders. Tiny Papers @ ICLR (2023)
Piotr Sawicki, Marek Grzes, Fabrício Góes, Daniel Brown, Max Peeperkorn, Aisha Khatun
Bits of Grass: Does GPT already know how to write like Whitman? CoRR (2023)
Lisa Bonheme, Marek Grzes
How good are variational autoencoders at transfer learning? CoRR (2023)
Fabricio Goes, Zisen Zhou, Piotr Sawicki, Marek Grzes, Daniel G. Brown
Crowd Score: A Method for the Evaluation of Jokes using Large Language Model AI Voters as Judges. CoRR (2022)
Théophile Champion, Marek Grzes, Howard Bowman
Multi-Modal and Multi-Factor Branching Time Active Inference. CoRR (2022)
Lisa Bonheme, Marek Grzes
FONDUE: an algorithm to find the optimal dimensionality of the latent representations of variational autoencoders. CoRR (2022)
Lisa Bonheme, Marek Grzes
How do Variational Autoencoders Learn? Insights from Representational Similarity. CoRR (2022)
Piotr Sawicki, Marek Grzes, Anna Jordanous, Daniel Brown, Max Peeperkorn
Training GPT-2 to represent two Romantic-era authors: challenges, evaluations and pitfalls. ICCC (2022)
Théophile Champion, Howard Bowman, Marek Grzes
Branching time active inference: Empirical study and complexity class analysis. Neural Networks 152 (2022)
Théophile Champion, Lancelot Da Costa, Howard Bowman, Marek Grzes
Branching Time Active Inference: The theory and its generality. Neural Networks 151 (2022)
Théophile Champion, Marek Grzes, Howard Bowman
Branching Time Active Inference with Bayesian Filtering. Neural Comput. 34 (10) (2022)
Théophile Champion, Marek Grzes, Howard Bowman
Realising Active Inference in Variational Message Passing: the Outcome-blind Certainty Seeker. CoRR (2021)
Théophile Champion, Howard Bowman, Marek Grzes
Branching Time Active Inference: empirical study and complexity class analysis. CoRR (2021)
Théophile Champion, Lancelot Da Costa, Howard Bowman, Marek Grzes
Branching Time Active Inference: the theory and its generality. CoRR (2021)
Lisa Bonheme, Marek Grzes
Be More Active! Understanding the Differences between Mean and Sampled Representations of Variational Autoencoders. CoRR (2021)
Théophile Champion, Marek Grzes, Howard Bowman
Realizing Active Inference in Variational Message Passing: The Outcome-Blind Certainty Seeker. Neural Comput. 33 (10) (2021)
Théophile Champion, Marek Grzes, Howard Bowman
Branching Time Active Inference with Bayesian Filtering. CoRR (2021)
Lisa Bonheme, Marek Grzes
SESAM at SemEval-2020 Task 8: Investigating the Relationship between Image and Text in Sentiment Analysis of Memes. SemEval@COLING (2020)
Lee Harris, Marek Grzes
Comparing Explanations between Random Forests and Artificial Neural Networks. SMC (2019)
Rogério de Lemos, Marek Grzes
Self-adaptive artificial intelligence. SEAMS@ICSE (2019)
Farhana Ferdousi Liza, Marek Grzes
Improving Language Modelling with Noise Contrastive Estimation. AAAI (2018)
Jack Shannon, Marek Grzes
Reinforcement Learning using Augmented Neural Networks. CoRR (2018)
Marek Grzes
Reward Shaping in Episodic Reinforcement Learning. AAMAS (2017)
Farhana Ferdousi Liza, Marek Grzes
Improving Language Modelling with Noise-contrastive estimation. CoRR (2017)
Farhana Ferdousi Liza, Marek Grzes
Estimating the Accuracy of Spectral Learning for HMMs. AIMSA (2016)
Farhana Ferdousi Liza, Marek Grzes
A Spectral Method that Worked Well in the SPiCe'16 Competition. ICGI (2016)
Farhana Ferdousi Liza, Marek Grzes
An Improved Crowdsourcing Based Evaluation Technique for Word Embedding Methods. RepEval@ACL (2016)
Marek Grzes, Pascal Poupart
Incremental Policy Iteration with Guaranteed Escape from Local Optima in POMDP Planning. AAMAS (2015)
Mauro Vallati, Lukás Chrpa, Marek Grzes, Thomas Leo McCluskey, Mark Roberts, Scott Sanner
The 2014 International Planning Competition: Progress and Trends. AI Mag. 36 (3) (2015)
Marek Grzes, Pascal Poupart, Xiao Yang, Jesse Hoey
Energy Efficient Execution of POMDP Policies. IEEE Trans. Cybern. 45 (11) (2015)
Marek Grzes, Jesse Hoey, Shehroz S. Khan, Alex Mihailidis, Stephen Czarnuch, Daniel Jackson, Andrew Monk
Relational approach to knowledge engineering for POMDP-based assistance systems as a translation of a psychological model. Int. J. Approx. Reason. 55 (1) (2014)
Marcin Czajkowski, Marek Grzes, Marek Kretowski
Multi-test decision tree and its application to microarray data classification. Artif. Intell. Medicine 61 (1) (2014)
Marek Grzes, Pascal Poupart
POMDP planning and execution in an augmented space. AAMAS (2014)
Marek Grzes, Pascal Poupart, Jesse Hoey
Isomorph-Free Branch and Bound Search for Finite State Controllers. IJCAI (2013)
Marek Grzes, Jesse Hoey
On the convergence of techniques that improve value iteration. IJCNN (2013)
Marek Grzes, Pascal Poupart, Jesse Hoey
Controller Compilation and Compression for Resource Constrained Applications. ADT (2013)
Marek Grzes, Jesse Hoey
Analysis of methods for solving MDPs. AAMAS (2012)
Marek Grzes, Jesse Hoey, Shehroz S. Khan, Alex Mihailidis, Stephen Czarnuch, Daniel Jackson, Andrew Monk
Relational Approach to Knowledge Engineering for POMDP-based Assistance Systems as a Translation of a Psychological Model CoRR (2012)
Marcin Czajkowski, Marek Grzes, Marek Kretowski
Multi-Test Decision Trees for Gene Expression Data Analysis. SIIS (2011)
Jesse Hoey, Marek Grzes
Distributed Control of Situated Assistance in Large Domains with Many Tasks. ICAPS (2011)
Sam Devlin, Daniel Kudenko, Marek Grzes
An Empirical Study of Potential-Based Reward Shaping and Advice in Complex, Multi-Agent Systems. Adv. Complex Syst. 14 (2) (2011)
Marek Grzes, Jesse Hoey
Efficient planning in R-max. AAMAS (2011)
Sam Devlin, Marek Grzes, Daniel Kudenko
Multi-agent, reward shaping for RoboCup KeepAway. AAMAS (2011)
Marek Grzes, Daniel Kudenko
Online learning of shaping rewards in reinforcement learning. Neural Networks 23 (4) (2010)
Marek Grzes, Daniel Kudenko
PAC-MDP learning with knowledge-based admissible models. AAMAS (2010)
Marek Grzes, Daniel Kudenko
Improving Optimistic Exploration in Model-Free Reinforcement Learning. ICANNGA (2009)
Daniel Kudenko, Marek Grzes
Knowledge-Based Reinforcement Learning for Data Mining. ADMI (2009)
Sam Devlin, Marek Grzes, Daniel Kudenko
Reinforcement Learning in RoboCup KeepAway with Partial Observability. IAT (2009)
Marek Grzes, Daniel Kudenko
Reinforcement Learning with Reward Shaping and Mixed Resolution Function Approximation. Int. J. Agent Technol. Syst. 1 (2) (2009)
Marek Grzes, Daniel Kudenko
Theoretical and Empirical Analysis of Reward Shaping in Reinforcement Learning. ICMLA (2009)
Marek Grzes, Daniel Kudenko
Multigrid Reinforcement Learning with Reward Shaping. ICANN (1) (2008)
Marek Grzes, Daniel Kudenko
An Empirical Analysis of the Impact of Prioritised Sweeping on the DynaQ's Performance. ICAISC (2008)
Marek Grzes, Daniel Kudenko
Robustness Analysis of SARSA(lambda): Different Models of Reward and Initialisation. AIMSA (2008)
Marek Kretowski, Marek Grzes
Evolutionary Induction of Mixed Decision Trees. Int. J. Data Warehous. Min. 3 (4) (2007)
Marek Kretowski, Marek Grzes
Evolutionary Induction of Decision Trees for Misclassification Cost Minimization. ICANNGA (1) (2007)
Marek Kretowski, Marek Grzes
Mixed Decision Trees: An Evolutionary Approach. DaWaK (2006)
Marek Kretowski, Marek Grzes
Evolutionary Induction of Cost-Sensitive Decision Trees. ISMIS (2006)
Marek Kretowski, Marek Grzes
Evolutionary Learning of Linear Trees with Embedded Feature Selection. ICAISC (2006)
Marek Kretowski, Marek Grzes
Global Induction of Oblique Decision Trees: An Evolutionary Approach. Intelligent Information Systems (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Marek Grzes