Majid Abdolshah

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 21

Top Topics

Multi Objective Optimisation

Multiagent Evolutionary Algorithm

Reinforcement Learning

Top Venues

Publications

Peixia Li, Pulak Purkait, Thalaiyasingam Ajanthan, Majid Abdolshah, Ravi Garg, Hisham Husain, Chenchen Xu, Stephen Gould, Wanli Ouyang, Anton van den Hengel
Semi-Supervised Semantic Segmentation under Label Noise via Diverse Learning Groups. ICCV (2023)
Sunil Gupta, Alistair Shilton, Arun Kumar A V, Shannon Ryan, Majid Abdolshah, Hung Le, Santu Rana, Julian Berk, Mahad Rashid, Svetha Venkatesh
BO-Muse: A human expert and AI teaming framework for accelerated experimental design. CoRR (2023)
Thommen George Karimpanal, Hung Le, Majid Abdolshah, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh
Balanced Q-learning: Combining the influence of optimistic and pessimistic targets. Artif. Intell. 325 (2023)
Hung Le, Majid Abdolshah, Thommen K. George, Kien Do, Dung Nguyen, Svetha Venkatesh
Episodic Policy Gradient Training. AAAI (2022)
Hung Le, Thommen George Karimpanal, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh
Memory-Constrained Policy Optimization. CoRR (2022)
Stewart Greenhill, Majid Abdolshah, Vuong Le, Sunil Gupta, Svetha Venkatesh
Semantic Control of Generative Musical Attributes. ISMIR (2022)
Thai Hung Le, Thommen Karimpanal George, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh
Learning to Constrain Policy Optimization with Virtual Trust Region. NeurIPS (2022)
Hung Le, Majid Abdolshah, Thommen K. George, Kien Do, Dung Nguyen, Svetha Venkatesh
Episodic Policy Gradient Training. CoRR (2021)
Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh
A New Representation of Successor Features for Transfer across Dissimilar Environments. ICML (2021)
Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh
A New Representation of Successor Features for Transfer across Dissimilar Environments. CoRR (2021)
Thommen George Karimpanal, Hung Le, Majid Abdolshah, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh
Balanced Q-learning: Combining the Influence of Optimistic and Pessimistic Targets. CoRR (2021)
Hung Le, Thommen George Karimpanal, Majid Abdolshah, Truyen Tran, Svetha Venkatesh
Model-Based Episodic Memory Induces Dynamic Hybrid Controls. NeurIPS (2021)
Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh
Plug and Play, Model-Based Reinforcement Learning. CoRR (2021)
Hung Le, Thommen George Karimpanal, Majid Abdolshah, Truyen Tran, Svetha Venkatesh
Model-Based Episodic Memory Induces Dynamic Hybrid Controls. CoRR (2021)
Majid Abdolshah, Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh
Cost-aware Multi-objective Bayesian optimisation. CoRR (2019)
Majid Abdolshah, Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh
Multi-objective Bayesian optimisation with preferences over objectives. CoRR (2019)
Majid Abdolshah, Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh
Multi-objective Bayesian optimisation with preferences over objectives. NeurIPS (2019)
Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh, Majid Abdolshah, Dang Nguyen
Stable Bayesian Optimisation via Direct Stability Quantification. CoRR (2019)
Majid Abdolshah, Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh
Expected Hypervolume Improvement with Constraints. ICPR (2018)
Majid Abdolshah, Mehdi Teimouri, Rohallah Rahmani
Classification of X-Ray images of shipping containers. Expert Syst. Appl. 77 (2017)
Morteza Ebrahimi, Majid Abdolshah, Saeed Abdolshah
Developing a computer vision method based on AHP and feature ranking for ores type detection. Appl. Soft Comput. 49 (2016)