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Majid Abdolshah
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Multi-objective Bayesian optimisation with preferences over objectives
M Abdolshah, A Shilton, S Rana, S Gupta, S Venkatesh
Conference on Neural Information Processing Systems (NeurIPS 2019), 2019
202019
Classification of X-Ray images of shipping containers
M Abdolshah, M Teimouri, R Rahmani
Expert Systems with Applications 77, 57-65, 2017
152017
Expected Hypervolume Improvement with Constraints
M Abdolshah, A Shilton, S Rana, S Gupta, S Venkatesh
International Conference on Pattern Recognition (ICPR), 2018
102018
Developing a computer vision method based on AHP and feature ranking for ores type detection
M Ebrahimi, M Abdolshah, S Abdolshah
Applied Soft Computing 49, 179-188, 2016
92016
Cost-aware multi-objective Bayesian optimisation
M Abdolshah, A Shilton, S Rana, S Gupta, S Venkatesh
arXiv preprint arXiv:1909.03600, 2019
72019
Santu Rana, Sunil Gupta, and Svetha Venkatesh. Cost-aware multi-objective Bayesian optimisation
M Abdolshah, A Shilton
arXiv preprint arXiv:1909.03600, 2019
52019
A new representation of successor features for transfer across dissimilar environments
M Abdolshah, H Le, TK George, S Gupta, S Rana, S Venkatesh
International Conference on Machine Learning (ICML), 1-9, 2021
42021
Model-Based Episodic Memory Induces Dynamic Hybrid Controls
H Le, T Karimpanal George, M Abdolshah, T Tran, S Venkatesh
Advances in Neural Information Processing Systems (NeurIPS 2021) 34, 2021
32021
Trajectory Planning and Walking Pattern Generation of Humanoid Robot Motion
S Abdolshah, M Abdolshah, SH Tang
International Journal of Robotics and Automation (IAES) 4 (2), 135-142, 2015
32015
Episodic Policy Gradient Training
H Le, M Abdolshah, TK George, K Do, D Nguyen, S Venkatesh
AAAI 2022, 2022
12022
Walking control of humanoid robots on uneven ground using fuzzy algorithm
S Abdolshah, M Abdolshah, M Abdolshah, SV Hashemi
Mathematical Concepts and Applications in Mechanical Engineering and …, 2017
12017
Memory-Constrained Policy Optimization
H Le, TK George, M Abdolshah, D Nguyen, K Do, S Gupta, S Venkatesh
arXiv preprint arXiv:2204.09315, 2022
2022
Balanced Q-learning: Combining the Influence of Optimistic and Pessimistic Targets
TG Karimpanal, H Le, M Abdolshah, S Rana, S Gupta, T Tran, ...
arXiv preprint arXiv:2111.02787, 2021
2021
Reachability Traces for Curriculum Design in Reinforcement Learning
TK George, M Abdolshah, H Le, S Rana, S Gupta, T Tran, S Venkatesh
2021
Neural Latent Traversal with Semantic Constraints
M Abdolshah, H Le, TK George, V Le, S Gupta, S Rana, S Venkatesh
2021
Plug and Play, Model-Based Reinforcement Learning
M Abdolshah, H Le, TK George, S Gupta, S Rana, S Venkatesh
arXiv preprint arXiv:2108.08960, 2021
2021
Stable Bayesian Optimisation via Direct Stability Quantification
A Shilton, S Gupta, S Rana, S Venkatesh, M Abdolshah, N Dang
https://arxiv.org/abs/1902.07846, 2019
2019
Santu Rana, Sunil Gupta, and Svetha Venkatesh. Multiobjective Bayesian optimisation with preferences over objectives
M Abdolshah, A Shilton
Advances in Neural Information Processing Systems, 12214-12224, 2019
2019
Multi-objective Bayesian optimisation with preferences over objectives (Supplementary Materials)
M Abdolshah, A Shilton, S Rana, S Gupa, S Venkatesh
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Articles 1–19