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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.
ICML is the premier gathering of professionals dedicated to the advancement of the branch of AI known as machine learning (ML). Globally renowned for presenting and publishing cutting-edge research on all aspects of ML and application areas, the conference is within the top ten highest-ranked ML & AI conferences in the world based on h-index and Impact Score values (see: Google Scholar and Guide2Research).
Amii Fellows and Canada CIFAR AI Chairs – professors at the University of Alberta, University of British Columbia and Carleton University – as well as other Amii researchers have 23 papers included in the proceedings:
* indicates Amii researcher or alum
A Distribution-dependent Analysis of Meta Learning
Average-Reward Off-Policy Policy Evaluation with Function Approximation
Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization
Bootstrapping Fitted Q-Evaluation for Off-Policy Inference
Characterizing the Gap Between Actor-Critic and Policy Gradient
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games
Emphatic Algorithms for Deep Reinforcement Learning
Improved Regret Bound and Experience Replay in Regularized Policy Iteration
Learning and Planning in Average-Reward Markov Decision Processes
LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs
Leveraging Non-uniformity in First-order Non-convex Optimization
On the Optimality of Batch Policy Optimization Algorithms
Parameterless Transductive Feature Re-representation for Few-Shot Learning
Randomized Exploration in Reinforcement Learning with General Value Function Approximation
Revisiting Peng's Q(λ) for Modern Reinforcement Learning
RNNRepair: Automatic RNN Repair via Model-based Analysis
Robust Asymmetric Learning in POMDPs
Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient
Tractable structured natural-gradient descent using local parameterizations
Valid Causal Inference with (Some) Invalid Instruments
Reinforcement Learning for Real Life
Workshop on Reinforcement Learning Theory
Trivia Night hosted by Amii
Mentoring Program
In addition to his work being featured at the ICML Conference, Adam White also served as Social Chair.
Learn how Amii advances world-leading artificial intelligence and machine learning research: visit our Research page.
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