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Robby Goetschalckx
Robby Goetschalckx
Carelon Digital Platforms
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Title
Cited by
Cited by
Year
The development of an adaptive upper-limb stroke rehabilitation robotic system
P Kan, R Huq, J Hoey, R Goetschalckx, A Mihailidis
Journal of neuroengineering and rehabilitation 8, 1-18, 2011
1142011
Bayesian real-time dynamic programming
S Sanner, R Goetschalckx, K Driessens, G Shani
Proceedings of the 21st International Joint Conference on Artificial …, 2009
632009
Imitation learning with demonstrations and shaping rewards
K Judah, A Fern, P Tadepalli, R Goetschalckx
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
522014
Continuous correlated beta processes
R Goetschalckx, P Poupart, J Hoey
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
152011
Multi-agent relational reinforcement learning
K Tuyls, T Croonenborghs, J Ramon, R Goetschalckx, M Bruynooghe
Proceedings of the First International Workshop on Learning and Adaptation …, 2005
142005
A decision-theoretic approach in the design of an adaptive upper-limb stroke rehabilitation robot
R Huq, P Kan, R Goetschalckx, D Hébert, J Hoey, A Mihailidis
2011 IEEE International Conference on Rehabilitation Robotics, 1-8, 2011
132011
Coactive learning for locally optimal problem solving
R Goetschalckx, A Fern, P Tadepalli
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
122014
Active imitation learning of hierarchical policies
M Hamidi, P Tadepalli, R Goetschalckx, A Fern
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
102015
Cost-sensitive parsimonious linear regression
R Goetschalckx, K Driessens, S Sanner
2008 Eighth IEEE International Conference on Data Mining, 809-814, 2008
102008
Games with dynamic difficulty adjustment using pomdps
R Goetschalckx, O Missura, J Hoey, T Gärtner
ICML 2010 Workshop, 2010
82010
Cost-sensitive reinforcement learning
R Goetschalckx, K Driessens
Proceedings of the workshop on AI Planning and Learning, 1-5, 2007
82007
Multitask coactive learning
R Goetschalckx, A Fern, P Tadepalli
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
52015
Reinforcement learning with the use of costly features
R Goetschalckx, S Sanner, K Driessens
European Workshop on Reinforcement Learning, 124-135, 2008
42008
Adaptive submodularity with varying query sets: An application to active multi-label learning
A Fern, R Goetschalckx, M Hamidi-Haines, P Tadepalli
International Conference on Algorithmic Learning Theory, 577-592, 2017
32017
An intuitive derivation of a sample size calculation
J Hoey, R Goetschalckx
School of Computer Science, University of Waterloo, 2010
32010
On policy learning in restricted policy spaces
R Goetschalckx, J Ramon
AAAI, 1858-1859, 2007
22007
Using expert knowledge to construct state-action aggregations for reinforcement learning
R Goetschalckx, J Ramon, H Blockeel, M Bruynooghe
CW Reports, 14-14, 2006
22006
Active learning of hierarchical policies from state-action trajectories
M Hamidi, P Tadepalli, R Goetschalckx, A Fern
Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
12015
Parsimonious Linear Model Trees
R Goetschalckx, K Driessens
Proc. of ICML Workshop on Machine Learning and Games, 2010
12010
Using expert knowledge to construct error bound state-action aggregations for reinforcement learning
R Goetschalckx, J Ramon
Proceedings of the 19th Belgian-Dutch Conference on Artificial Intelligence …, 2007
12007
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