Marek Grzes

According to our database1, Marek Grzes authored at least 52 papers between 2005 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
Branching Time Active Inference: The theory and its generality.
Neural Networks, 2022

Branching time active inference: Empirical study and complexity class analysis.
Neural Networks, 2022

Branching Time Active Inference with Bayesian Filtering.
Neural Comput., 2022

FONDUE: an algorithm to find the optimal dimensionality of the latent representations of variational autoencoders.
CoRR, 2022

Multi-Modal and Multi-Factor Branching Time Active Inference.
CoRR, 2022

How do Variational Autoencoders Learn? Insights from Representational Similarity.
CoRR, 2022

Training GPT-2 to represent two Romantic-era authors: challenges, evaluations and pitfalls.
Proceedings of the 13th International Conference on Computational Creativity, Bozen-Bolzano, Italy, June 27, 2022

2021
Realizing Active Inference in Variational Message Passing: The Outcome-Blind Certainty Seeker.
Neural Comput., 2021

Be More Active! Understanding the Differences between Mean and Sampled Representations of Variational Autoencoders.
CoRR, 2021

Realising Active Inference in Variational Message Passing: the Outcome-blind Certainty Seeker.
CoRR, 2021

2020
SESAM at SemEval-2020 Task 8: Investigating the Relationship between Image and Text in Sentiment Analysis of Memes.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

2019
Comparing Explanations between Random Forests and Artificial Neural Networks.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Self-adaptive artificial intelligence.
Proceedings of the 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2019

2018
Reinforcement Learning using Augmented Neural Networks.
CoRR, 2018

Improving Language Modelling with Noise Contrastive Estimation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Reward Shaping in Episodic Reinforcement Learning.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2016
An Improved Crowdsourcing Based Evaluation Technique for Word Embedding Methods.
Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP, 2016

A Spectral Method that Worked Well in the SPiCe'16 Competition.
Proceedings of the 13th International Conference on Grammatical Inference, 2016

Estimating the Accuracy of Spectral Learning for HMMs.
Proceedings of the Artificial Intelligence: Methodology, Systems, and Applications, 2016

2015
Energy Efficient Execution of POMDP Policies.
IEEE Trans. Cybern., 2015

The 2014 International Planning Competition: Progress and Trends.
AI Mag., 2015

Incremental Policy Iteration with Guaranteed Escape from Local Optima in POMDP Planning.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014
Relational approach to knowledge engineering for POMDP-based assistance systems as a translation of a psychological model.
Int. J. Approx. Reason., 2014

Multi-test decision tree and its application to microarray data classification.
Artif. Intell. Medicine, 2014

POMDP planning and execution in an augmented space.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013
On the convergence of techniques that improve value iteration.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Isomorph-Free Branch and Bound Search for Finite State Controllers.
Proceedings of the IJCAI 2013, 2013

Controller Compilation and Compression for Resource Constrained Applications.
Proceedings of the Algorithmic Decision Theory - Third International Conference, 2013

2012
Analysis of methods for solving MDPs.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

2011
An Empirical Study of Potential-Based Reward Shaping and Advice in Complex, Multi-Agent Systems.
Adv. Complex Syst., 2011

Multi-Test Decision Trees for Gene Expression Data Analysis.
Proceedings of the Security and Intelligent Information Systems, 2011

Efficient planning in R-max.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

Multi-agent, reward shaping for RoboCup KeepAway.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

Distributed Control of Situated Assistance in Large Domains with Many Tasks.
Proceedings of the 21st International Conference on Automated Planning and Scheduling, 2011

2010
Improving exploration in reinforcement learning through domain knowledge and parameter analysis.
PhD thesis, 2010

Online learning of shaping rewards in reinforcement learning.
Neural Networks, 2010

PAC-MDP learning with knowledge-based admissible models.
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

2009
Reinforcement Learning with Reward Shaping and Mixed Resolution Function Approximation.
Int. J. Agent Technol. Syst., 2009

Theoretical and Empirical Analysis of Reward Shaping in Reinforcement Learning.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Improving Optimistic Exploration in Model-Free Reinforcement Learning.
Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

Reinforcement Learning in RoboCup KeepAway with Partial Observability.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2009

Knowledge-Based Reinforcement Learning for Data Mining.
Proceedings of the Agents and Data Mining Interaction, 4th International Workshop, 2009

2008
Multigrid Reinforcement Learning with Reward Shaping.
Proceedings of the Artificial Neural Networks, 2008

An Empirical Analysis of the Impact of Prioritised Sweeping on the DynaQ's Performance.
Proceedings of the Artificial Intelligence and Soft Computing, 2008

Robustness Analysis of SARSA(lambda): Different Models of Reward and Initialisation.
Proceedings of the Artificial Intelligence: Methodology, 2008

2007
Evolutionary Induction of Mixed Decision Trees.
Int. J. Data Warehous. Min., 2007

Evolutionary Induction of Decision Trees for Misclassification Cost Minimization.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

2006
Evolutionary Induction of Cost-Sensitive Decision Trees.
Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006

Evolutionary Learning of Linear Trees with Embedded Feature Selection.
Proceedings of the Artificial Intelligence and Soft Computing, 2006

Mixed Decision Trees: An Evolutionary Approach.
Proceedings of the Data Warehousing and Knowledge Discovery, 8th International Conference, 2006

2005
Global Induction of Oblique Decision Trees: An Evolutionary Approach.
Proceedings of the Intelligent Information Processing and Web Mining, 2005

Global learning of decision trees by an evolutionary algorithm.
Proceedings of the Information Processing and Security Systems., 2005


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