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May 2nd 2022
News
Amii at the International Conference on Learning Representation 2022
Find out the work that Amii researchers contributed to the 2022 International Conference on Learning Representation
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Nov 30th 2021
News
Bandit tasks, deep reinforcement learning and controlling disinformation: Amii researchers at NeurIPS 2021
Amii is proud to share the work of our researchers that will be presented at the thirty-fifth annual Neural Information Processing Systems (NeurIPS) conference, held online from December 6 - 14, 2021.
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Oct 29th 2021
Research Post
Understanding the Effect of Stochasticity in Policy Optimization
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Jul 13th 2021
News
Amii at ICML 2021: Accepted papers & workshops
The work of Amii researchers is being featured at the 38th annual International Conference on Machine Learning (ICML), running online this year from July 18 to 24.
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Jul 13th 2021
Research Post
Characterizing the Gap Between Actor-Critic and Policy Gradient
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Jul 13th 2021
Research Post
LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs
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May 13th 2021
Research Post
Leveraging Non-uniformity in First-order Non-convex Optimization
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Apr 6th 2021
Research Post
On the Optimality of Batch Policy Optimization Algorithms
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Feb 11th 2021
Research Post
Domain aggregation networks for multi-source domain adaptation
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Feb 1st 2021
Research Post
Deep Probabilistic Canonical Correlation Analysis
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Jan 19th 2021
News
Amii welcomes 15 additional Canada CIFAR AI Chairs
As part of the January 2021 AICan, Amii is pleased to welcome 15 new Canada CIFAR AI Chairs into our research community.
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Dec 12th 2020
Research Post
Offline Policy Selection under Uncertainty
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Dec 6th 2020
Research Post
Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration
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Dec 6th 2020
Research Post
Off-Policy Evaluation via the Regularized Lagrangian
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Dec 6th 2020
Research Post
CoinDICE: Off-Policy Confidence Interval Estimation
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Dec 6th 2020
Research Post
Escaping the Gravitational Pull of Softmax
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Nov 30th 2020
News
Amii accepted papers, workshops & tutorials at NeurIPS 2020
Amii is proud to share the efforts and achievements of our researchers at the 34th Conference on Neural Information Processing Systems (NeurIPS), running online this year Dec 6 - 12.
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Nov 21st 2020
Research Post
Scalable Deep Generative Modeling for Sparse Graphs
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Nov 21st 2020
Research Post
An optimistic perspective on offline reinforcement learning
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Nov 21st 2020
Research Post
ConQUR: Mitigating Delusional Bias in Deep Q-learning
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Nov 21st 2020
Research Post
Go Wide, Then Narrow: Efficient Training of Deep Thin Networks
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Oct 8th 2020
Research Post
Training policy neural networks using path consistency learning
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Sep 29th 2020
Research Post
Attention that does not Explain Away
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Jul 21st 2020
Research Post
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL
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