Peter Vrancx

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 37

Top Topics

Reinforcement Learning

Top Venues

Publications

Diana Gomes, Kyriakos Efthymiadis, Ann Nowé, Peter Vrancx
Depth Scaling in Graph Neural Networks: Understanding the Flat Curve Behavior. Trans. Mach. Learn. Res. 2024 (2024)
Diksha Moolchandani, Joyjit Kundu, Frederik Ruelens, Peter Vrancx, Timon Evenblij, Manu Perumkunnil
AMPeD: An Analytical Model for Performance in Distributed Training of Transformers. ISPASS (2023)
Nathan Laubeuf, Jonas Doevenspeck, Ioannis A. Papistas, Michele Caselli, Stefan Cosemans, Peter Vrancx, Debjyoti Bhattacharjee, Arindam Mallik, Peter Debacker, Diederik Verkest, Francky Catthoor, Rudy Lauwereins
Dynamic Quantization Range Control for Analog-in-Memory Neural Networks Acceleration. ACM Trans. Design Autom. Electr. Syst. 27 (5) (2022)
Nitish Satya Murthy, Peter Vrancx, Nathan Laubeuf, Peter Debacker, Francky Catthoor, Marian Verhelst
Learn to Learn on Chip: Hardware-aware Meta-learning for Quantized Few-shot Learning at the Edge. SEC (2022)
Kodai Ueyoshi, Ioannis A. Papistas, Pouya Houshmand, Giuseppe M. Sarda, Vikram Jain, Man Shi, Qilin Zheng, Juan Sebastian P. Giraldo, Peter Vrancx, Jonas Doevenspeck, Debjyoti Bhattacharjee, Stefan Cosemans, Arindam Mallik, Peter Debacker, Diederik Verkest, Marian Verhelst
DIANA: An End-to-End Energy-Efficient Digital and ANAlog Hybrid Neural Network SoC. ISSCC (2022)
Jonas Doevenspeck, Peter Vrancx, Nathan Laubeuf, Arindam Mallik, Peter Debacker, Diederik Verkest, Rudy Lauwereins, Wim Dehaene
Noise tolerant ternary weight deep neural networks for analog in-memory inference. IJCNN (2021)
John McLeod, Hrvoje Stojic, Vincent Adam, Dongho Kim, Jordi Grau-Moya, Peter Vrancx, Felix Leibfried
Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow. CoRR (2021)
Byung-Jun Lee, Jongmin Lee, Peter Vrancx, Dongho Kim, Kee-Eung Kim
Batch Reinforcement Learning with Hyperparameter Gradients. ICML (2020)
Janith C. Petangoda, Sergio Pascual-Diaz, Vincent Adam, Peter Vrancx, Jordi Grau-Moya
Disentangled Skill Embeddings for Reinforcement Learning. CoRR (2019)
Marcin B. Tomczak, Sergio Valcarcel Macua, Enrique Munoz de Cote, Peter Vrancx
Compatible features for Monotonic Policy Improvement. CoRR (2019)
Marcin B. Tomczak, Dongho Kim, Peter Vrancx, Kee-Eung Kim
Policy Optimization Through Approximated Importance Sampling. CoRR (2019)
Jordi Grau-Moya, Felix Leibfried, Peter Vrancx
Soft Q-Learning with Mutual-Information Regularization. ICLR (Poster) (2019)
Anna Harutyunyan, Peter Vrancx, Philippe Hamel, Ann Nowé, Doina Precup
Per-Decision Option Discounting. ICML (2019)
Garrett Andersen, Peter Vrancx, Haitham Bou-Ammar
Learning High-level Representations from Demonstrations. CoRR (2018)
Christopher Amato, Haitham Bou-Ammar, Elizabeth F. Churchill, Erez Karpas, Takashi Kido, Mike Kuniavsky, William F. Lawless, Francesca Rossi, Frans A. Oliehoek, Stephen Russell, Keiki Takadama, Siddharth Srivastava, Karl Tuyls, Philip van Allen, Kristen Brent Venable, Peter Vrancx, Shiqi Zhang
Reports on the 2018 AAAI Spring Symposium Series. AI Mag. 39 (4) (2018)
Denis Steckelmacher, Diederik M. Roijers, Anna Harutyunyan, Peter Vrancx, Hélène Plisnier, Ann Nowé
Reinforcement Learning in POMDPs With Memoryless Options and Option-Observation Initiation Sets. AAAI (2018)
Bert J. Claessens, Peter Vrancx, Frederik Ruelens
Convolutional Neural Networks for Automatic State-Time Feature Extraction in Reinforcement Learning Applied to Residential Load Control. IEEE Trans. Smart Grid 9 (4) (2018)
Anna Harutyunyan, Peter Vrancx, Pierre-Luc Bacon, Doina Precup, Ann Nowé
Learning With Options That Terminate Off-Policy. AAAI (2018)
Felix Leibfried, Rasul Tutunov, Peter Vrancx, Haitham Bou-Ammar
Model-Based Stabilisation of Deep Reinforcement Learning. CoRR (2018)
Roxana Radulescu, Peter Vrancx, Ann Nowé
Analysing Congestion Problems in Multi-agent Reinforcement Learning. CoRR (2017)
Denis Steckelmacher, Diederik M. Roijers, Anna Harutyunyan, Peter Vrancx, Ann Nowé
Reinforcement Learning in POMDPs with Memoryless Options and Option-Observation Initiation Sets. CoRR (2017)
Frederik Ruelens, Bert J. Claessens, Peter Vrancx, Fred Spiessens, Geert Deconinck
Direct Load Control of Thermostatically Controlled Loads Based on Sparse Observations Using Deep Reinforcement Learning. CoRR (2017)
Tim Brys, Anna Harutyunyan, Peter Vrancx, Ann Nowé, Matthew E. Taylor
Multi-objectivization and ensembles of shapings in reinforcement learning. Neurocomputing 263 (2017)
Jesus Lago, Fjo De Ridder, Peter Vrancx, Bart De Schutter
Forecasting day-ahead electricity prices in Europe: the importance of considering market integration. CoRR (2017)
Anna Harutyunyan, Peter Vrancx, Pierre-Luc Bacon, Doina Precup, Ann Nowé
Learning with Options that Terminate Off-Policy. CoRR (2017)
Pieter Libin, Timothy Verstraeten, Kristof Theys, Diederik M. Roijers, Peter Vrancx, Ann Nowé
Efficient Evaluation of Influenza Mitigation Strategies Using Preventive Bandits. AAMAS Workshops (Visionary Papers) (2017)
Roxana Radulescu, Peter Vrancx, Ann Nowé
Analysing Congestion Problems in Multi-agent Reinforcement Learning. AAMAS (2017)
Peter Vrancx, Enda Howley, Matt Knudson
Preface to the special issue: adaptive learning agents. Knowl. Eng. Rev. 31 (1) (2016)
Abdel Rodríguez, Peter Vrancx, Ricardo Grau, Ann Nowé
A reinforcement learning approach to coordinate exploration with limited communication in continuous action games. Knowl. Eng. Rev. 31 (1) (2016)
Bert J. Claessens, Peter Vrancx, Frederik Ruelens
Convolutional Neural Networks For Automatic State-Time Feature Extraction in Reinforcement Learning Applied to Residential Load Control. CoRR (2016)
Kevin Tanghe, Anna Harutyunyan, Erwin Aertbeliën, Friedl De Groote, Joris De Schutter, Peter Vrancx, Ann Nowé
Predicting Seat-Off and Detecting Start-of-Assistance Events for Assisting Sit-to-Stand With an Exoskeleton. IEEE Robotics Autom. Lett. 1 (2) (2016)
Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Nowé
Shaping Mario with Human Advice. AAMAS (2015)
Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Nowé
Multi-Scale Reward Shaping via an Off-Policy Ensemble. AAMAS (2015)
Peter Vrancx, Pasquale Gurzi, Abdel Rodríguez, Kris Steenhaut, Ann Nowé
A Reinforcement Learning Approach for Interdomain Routing with Link Prices. ACM Trans. Auton. Adapt. Syst. 10 (1) (2015)
Anna Harutyunyan, Sam Devlin, Peter Vrancx, Ann Nowé
Expressing Arbitrary Reward Functions as Potential-Based Advice. AAAI (2015)
Denis Steckelmacher, Peter Vrancx
An Empirical Comparison of Neural Architectures for Reinforcement Learning in Partially Observable Environments. CoRR (2015)
Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Nowé
Off-Policy Reward Shaping with Ensembles. CoRR (2015)
Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Nowé
Off-Policy Shaping Ensembles in Reinforcement Learning. CoRR (2014)
Tim Brys, Anna Harutyunyan, Peter Vrancx, Matthew E. Taylor, Daniel Kudenko, Ann Nowé
Multi-objectivization of reinforcement learning problems by reward shaping. IJCNN (2014)
Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Nowé
Off-Policy Shaping Ensembles in Reinforcement Learning. ECAI (2014)
Kristof Van Moffaert, Kevin Van Vaerenbergh, Peter Vrancx, Ann Nowé
Multi-objective χ-Armed bandits. IJCNN (2014)
Kristof Van Moffaert, Yann-Michaël De Hauwere, Peter Vrancx, Ann Nowé
Reinforcement Learning for Multi-purpose Schedules. ICAART (2) (2013)
Abdel Rodríguez, Peter Vrancx, Ann Nowé, Erik Hostens
Model-free learning of wire winding control. ASCC (2013)
Kevin Van Vaerenbergh, Abdel Rodríguez, Matteo Gagliolo, Peter Vrancx, Ann Nowé, Julian Stoev, Stijn Goossens, Gregory Pinte, Wim Symens
Improving wet clutch engagement with reinforcement learning. IJCNN (2012)
Abdel Rodríguez, Peter Vrancx, Ricardo Grau Ábalo, Ann Nowé
An RL approach to common-interest continuous action games. AAMAS (2012)
Pasquale Gurzi, Kris Steenhaut, Ann Nowé, Peter Vrancx
Learning a pricing strategy in multi-domain DWDM networks. LANMAN (2011)
Yann-Michaël De Hauwere, Peter Vrancx, Ann Nowé
Adaptive State Representations for Multi-agent Reinforcement Learning. ICAART (2) (2011)
Yann-Michaël De Hauwere, Peter Vrancx, Ann Nowé
Solving delayed coordination problems in MAS. AAMAS (2011)
Peter Vrancx, Yann-Michaël De Hauwere, Ann Nowé
Transfer Learning for Multi-agent Coordination. ICAART (2) (2011)
Tim Brys, Yann-Michaël De Hauwere, Ann Nowé, Peter Vrancx
Local Coordination in Online Distributed Constraint Optimization Problems. EUMAS (2011)
Yann-Michaël De Hauwere, Peter Vrancx, Ann Nowé
Solving Sparse Delayed Coordination Problems in Multi-Agent Reinforcement Learning. ALA (2011)
Yann-Michaël De Hauwere, Peter Vrancx, Ann Nowé
Generalized learning automata for multi-agent reinforcement learning. AI Commun. 23 (4) (2010)
Peter Vrancx, Katja Verbeeck, Ann Nowé
Taking turns in general sum Markov games. AAMAS (2010)
Peter Vrancx, Katja Verbeeck, Ann Nowé
Analyzing the dynamics of stigmergetic interactions through pheromone games. Theor. Comput. Sci. 411 (21) (2010)
Yann-Michaël De Hauwere, Peter Vrancx, Ann Nowé
Learning multi-agent state space representations. AAMAS (2010)
Peter Vrancx, Karl Tuyls, Ronald L. Westra
Switching dynamics of multi-agent learning. AAMAS (1) (2008)
Peter Vrancx, Katja Verbeeck, Ann Nowé
Decentralized Learning in Markov Games. IEEE Trans. Syst. Man Cybern. Part B 38 (4) (2008)
Yann-Michaël De Hauwere, Peter Vrancx, Ann Nowé
Using Generalized Learning Automata for State Space Aggregation in MAS. KES (1) (2008)
Peter Vrancx, Katja Verbeeck, Ann Nowé
Optimal Convergence in Multi-Agent MDPs. KES (3) (2007)
Peter Vrancx, Katja Verbeeck, Ann Nowé
Networks of Learning Automata and Limiting Games. Adaptive Agents and Multi-Agents Systems (2007)
Peter Vrancx, Ann Nowé
Using Pheromone Repulsion to Find Disjoint Paths. ANTS Workshop (2006)
Peter Vrancx, Katja Verbeeck, Ann Nowé
Analyzing Stigmergetic Algorithms Through Automata Games. KDECB (2006)
Peter Vrancx, Ann Nowé, Kris Steenhaut
Multi-type ACO for Light Path Protection. LAMAS (2005)
Rafael Bello, Ann Nowé, Yaile Caballero, Yudel Gómez, Peter Vrancx
A model based on ant colony system and rough set theory to feature selection. GECCO (2005)
Peter Vrancx, Ann Nowé, Kris Steenhaut
Multi-type ACO for light path protection. EUMAS (2005)
Ann Nowé, Katja Verbeeck, Peter Vrancx
Multi-type Ant Colony: The Edge Disjoint Paths Problem. ANTS Workshop (2004)