Publications

Generative Image as Action Models
Mohit Shridhar*, Lo, Yat Long*, Stephen James. Website. Conference on Robot Learning. 2024.

Learning Multi-Agent Communication with Contrastive Learning
Lo, Yat Long, Biswa Sengupta, Jakob Foerster, Michael Noukhovitch. In Proceedings of The 12th International Conference on Learning Representations . ICLR 2024.

Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning
Lo, Yat Long, Christian Schroeder de Witt, Samuel Sokota, Jakob Foerster, Shimon Whiteson. In Proceedings of The 11th International Conference on Learning Representations . ICLR 2023.

Learning to Ground Decentralized Multi-Agent Communication with Contrastive Learning
Lo, Yat Long, Jia Pan and Biswa Sengupta. ICLR Workshop on Emergent Communication. 2022. (Runner-Up Best Paper)

Knowing When To Look Back: Bidirectional Rollouts in Dyna-style Planning
Lo, Yat Long, Jia Pan and Albert Y.S. Lam. ICAPS Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning. 2020.

Improving Performance in Reinforcement Learning by Breaking Generalization in Neural Networks
Ghiassian, Sina, Banafsheh Rafiee, Yat Long Lo and Adam White. In Proceedings of the 19th International Conference on Autonomous Agents and Multi-Agent Systems. AAMAS 2020.

The Necessary Roadblock to Artificial General Intelligence: Corrigibility
Lo, Yat Long, Chung Yu Woo, and Ka Lok Ng. The Necessary Roadblock to Artificial General Intelligence: Corrigibility. AI Matters. 2019. (Winner of 2018 ACM SIGAI Student Essay Contest on Artificial Intelligence Technologies)

Overcoming Catastrophic Interference in Online Reinforcement Learning with Dynamic Self-Organizing Maps
Lo, Yat Long and Sina Ghiassian. NeurIPS Workshop on Biological and Artificial Reinforcement Learning . 2019.

A Two-Stage Approach for Automated Prostate Lesion Detection and Classification with Mask R-CNN and Weakly Supervised Deep Neural Network
Liu, Zhiyu, Wenhao Jiang, Kit Hang Lee, Yat Long Lo, Yui Lun Ng, Qi Dou, Varut Vardhanabhuti and Ka Wai Kwok. MICCAI Workshop on Artificial Intelligence in Radiation Therapy. 2019

Finding by counting: a probabilistic packet count model for indoor localization in ble environments
De, Subham, Shreyans Chowdhary, Aniket Shirke, Yat Long Lo, Robin Kravets, and Hari Sundaram. In Proceedings of the 11th Workshop on Wireless Network Testbeds, Experimental evaluation & Characterization, pp. 67-74. ACM . 2017.