Matthew E. Taylor
University of Alberta
H-index: 47
North America-Canada
Top articles of Matthew E. Taylor
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities | Carl Orge Retzlaff Srijita Das Christabel Wayllace Payam Mousavi Mohammad Afshari | 2024/1/30 | |
GLIDE-RL: Grounded Language Instruction through DEmonstration in RL | arXiv preprint arXiv:2401.02991 | Chaitanya Kharyal Sai Krishna Gottipati Tanmay Kumar Sinha Srijita Das Matthew E Taylor | 2024/1/3 |
A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning | Proceedings of the AAAI Conference on Artificial Intelligence | Tianpei Yang Heng You Jianye Hao Yan Zheng Matthew E Taylor | 2024/3/24 |
Comparing explanations in RL | Neural Computing and Applications | Britt Davis Pierson Dustin Arendt John Miller Matthew E Taylor | 2024/1 |
Portal: Automatic curricula generation for multiagent reinforcement learning | Proceedings of the AAAI Conference on Artificial Intelligence | Jizhou Wu Jianye Hao Tianpei Yang Xiaotian Hao Yan Zheng | 2024/3/24 |
Ignorance is Bliss: Robust Control via Information Gating | Advances in Neural Information Processing Systems | Manan Tomar Riashat Islam Matthew Taylor Sergey Levine Philip Bachman | 2024/2/13 |
Monitored Markov Decision Processes | arXiv preprint arXiv:2402.06819 | Simone Parisi Montaser Mohammedalamen Alireza Kazemipour Matthew E Taylor Michael Bowling | 2024/2/9 |
Learning to shape rewards using a game of two partners | Proceedings of the AAAI Conference on Artificial Intelligence | David Mguni Taher Jafferjee Jianhong Wang Nicolas Perez-Nieves Wenbin Song | 2023/6/26 |
Curriculum Learning for Cooperation in Multi-Agent Reinforcement Learning | arXiv preprint arXiv:2312.11768 | Rupali Bhati Sai Krishna Gottipati Clodéric Mars Matthew E Taylor | 2023/12/19 |
Improving reinforcement learning with human assistance: an argument for human subject studies with HIPPO Gym | Neural Computing and Applications | Matthew E Taylor Nicholas Nissen Yuan Wang Neda Navidi | 2023/11 |
Ensembling Diverse Policies Improves Generalizability of Reinforcement Learning Algorithms in Continuous Control Tasks | Proceedings of the Adaptive and Learning Agents Workshop (ALA 2023). ALA | Abilmansur Zhumabekov Daniel May Tianyu Zhang Aakash Krishna GS Omid Ardakanian | 2023 |
Do As You Teach: A Multi-Teacher Approach to Self-Play in Deep Reinforcement Learning | Chaitanya Kharyal Tanmay Kumar Sinha SaiKrishna Gottipati Srijita Das Matthew E Taylor | 2022/12/9 | |
CTutor: Helping People Learn to Avoid Present Bias During Decision Making | Calarina Muslimani Saba Gul Matthew E Taylor Carrie Demmans Epp Christabel Wayllace | 2023/6/26 | |
hammer: Multi-level coordination of reinforcement learning agents via learned messaging | Neural Computing and Applications | Nikunj Gupta G Srinivasaraghavan Swarup Mohalik Nishant Kumar Matthew E Taylor | 2023/10/24 |
Human-Machine Teaming for UAVs: An Experimentation Platform | arXiv preprint arXiv:2312.11718 | Laila El Moujtahid Sai Krishna Gottipati Clodéric Mars Matthew E Taylor | 2023/12/18 |
Reinforcement Learning Requires Human-in-the-Loop Framing and Approaches. | Matthew E Taylor | 2023 | |
Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning | arXiv preprint arXiv:2302.06548 | Bram Grooten Ghada Sokar Shibhansh Dohare Elena Mocanu Matthew E Taylor | 2023/2/13 |
Augmenting Flight Training with AI to Efficiently Train Pilots | Proceedings of the AAAI Conference on Artificial Intelligence | Michael Guevarra Srijita Das Christabel Wayllace Carrie Demmans Epp Matthew Taylor | 2023/9/6 |
Video-Guided Skill Discovery | Manan Tomar Dibya Ghosh Vivek Myers Anca Dragan Matthew E Taylor | 2023/10/4 | |
Work-in-Progress: Using Symbolic Planning with Deep RL to Improve Learning | Tianpei Yang Srijita Das Christabel Wayllace Matthew Taylor | 2023/12/4 |
Co-Authors
