Reinforcement Learning Research
Whether it’s pushing boundaries in science, helping companies strategically adopt AI or building individuals’ AI capabilities, there’s always something happening at Amii.
Whether it’s pushing boundaries in science, helping companies strategically adopt AI or building individuals’ AI capabilities, there’s always something happening at Amii.
Feb 1st 2023
Research Post
Read this research paper, co-authored by Fellow & Canada CIFAR AI Chair at Russ Greiner: Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms
Jan 31st 2023
Research Post
Jan 20th 2023
Research Post
Aug 8th 2022
Research Post
Read this research paper co-authored by Canada CIFAR AI Chair Angel Chang: Learning Expected Emphatic Traces for Deep RL
Jul 22nd 2022
Research Post
Read this research paper, co-authored by Canada CIFAR AI Chair Angel Chang: D3Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding
Jul 7th 2022
Research Post
Read this research paper, co-authored by Fellow & Canada CIFAR AI Chair Russ Greiner: Prediction of Obsessive-Compulsive Disorder: Importance of neurobiology-aided feature design and cross-diagnosis transfer learning
Apr 11th 2022
Research Post
Mar 30th 2022
Research Post
Read this research paper co-authored by Canada CIFAR AI Chair Angel Chang: OPD: Single-view 3D Openable Part Detection
Feb 15th 2022
Research Post
Read this research paper, co-authored by Canada CIFAR AI Chair Kevin Leyton-Brown: The Perils of Learning Before Optimizing
Feb 15th 2022
Research Post
Read this research paper, co-authored by Amii Fellow and Canada CIFAR AI Chair Adam White: Learning Expected Emphatic Traces for Deep RL
Feb 14th 2022
Research Post
Read this research paper, co-authored by Amii Fellow and Canada CIFAR AI Chair Matt Taylor: Decentralized Mean Field Games
Feb 14th 2022
Research Post
Read this research paper, co-authored by Amii Fellow and Canada CIFAR AI Chair Lili Mou: Generalized Equivariance and Preferential Labeling for GNN Node Classification
Feb 14th 2022
Research Post
Read this research paper, co-authored by Amii Fellow and Canada CIFAR AI Chair Lili Mou: Search and Learn: Improving Semantic Coverage for Data-to-Text Generation
Feb 14th 2022
Research Post
Read this research paper, co-authored by Amii Fellows and Canada CIFAR AI Chairs Osmar Zaïane,and Lili Mou, Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision
Feb 1st 2022
Research Post
Read this research paper, co-authored by Amii Fellow and Canada CIFAR AI Chairs Neil Burch and Michael Bowling: Rethinking formal models of partially observable multiagent decision making
Jan 19th 2022
Research Post
Read this research paper, co-authored by Canada CIFAR AI Chair Angel Chang: TriCoLo: Trimodal Contrastive Loss for Fine-grained Text to Shape Retrieval
Jan 14th 2022
Research Post
Read this research paper, co-authored by Fellow & Canada CIFAR AI Chair Russ Greiner: Domain-shift adaptation via linear transformations
Dec 16th 2021
Research Post
Read this research paper, co-authored by Fellow & Canada CIFAR AI Chair Russ Greiner: An Introduction to Machine Learning Approaches for Biomedical Research
Dec 9th 2021
Research Post
Read this research paper, co-authored by Fellow & Canada CIFAR AI Chair Russ Greiner: SIMLR: Machine Learning inside the SIR model for COVID-19 Forecasting
Dec 6th 2021
Research Post
Read this research paper, co-authored by Amii Fellow and Canada CIFAR AI Chairs Neil Burch and Micheal Bowling: Player of Games
Dec 1st 2021
Research Post
Dec 1st 2021
Research Post
Nov 19th 2021
Research Post
Read this research paper, co-authored by Fellow & Canada CIFAR AI Chair Russ Greiner: A novel machine learning-based video classification approach to detect pneumonia in COVID-19 patients using lung ultrasound
Nov 15th 2021
Research Post
Read this research paper, co-authored by Fellow & Canada CIFAR AI Chair Russ Greiner: A deep generative model enables automated structure elucidation of novel psychoactive substances
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