Talks
Recorded talks and presentations by members of the lab.
| Preview | Talk | Speaker | Year | Slides |
|---|---|---|---|---|
|
Distributions as Actions: A Unified Framework for Diverse Action Spaces Amii AI Seminar, Edmonton, Canada Seminar |
Jiamin He | 2026 | ||
|
Deep Reinforcement Learning with Gradient Eligibility Traces AI Seminar, University of Alberta Seminar |
Esraa Elelimy | 2025 | ||
|
Leveraging Traces for Continual Reinforcement Learning International Conference on Lifelong Learning Agents (CoLLAs), Philadelphia, USA Keynote |
Martha White | 2025 | ||
|
Better Experiments in Reinforcement Learning Reinforcement Learning Workshop at the Indian Institute of Science, Bengaluru, India Plenary |
Martha White | 2025 | ||
|
Embracing Adaptive Control: Developing Sound Online Reinforcement Learning Algorithms RL and Control Theory Workshop (ICML), Vienna, Austria Workshop |
Martha White | 2024 | ||
|
Advances in Value Estimation in Reinforcement Learning DELTA Seminar, UCL, London, UK Seminar |
Martha White | 2023 | ||
|
Advances in Off-policy Value Estimation in Reinforcement Learning London Machine Learning Meetup, London, UK Invited |
Martha White | 2022 | ||
|
Developing Reinforcement Learning Agents that Learn Many Subtasks UC Irvine CS Seminar, Irvine, USA Invited |
Martha White | 2022 | ||
|
Developing Reinforcement Learning Agents that Learn Many Subtasks Waterloo AI Institute Seminar, Waterloo, Canada Invited |
Martha White | 2022 | ||
|
Generalizing the Projected Bellman Error Objective for Nonlinear Value Estimation Deep Reinforcement Learning / Theory of Reinforcement Learning Workshop (Simons Institute), Berkeley, USA Workshop |
Martha White | 2020 | ||
|
Rethinking the Objective for Policy Optimization in Reinforcement Learning CAIDA Seminar Series, University of British Columbia, Vancouver, Canada Seminar |
Martha White | 2020 | ||
|
Policy Gradient Methods as Approximate Policy Iteration: Advantages and Open Questions Tea Time Talks (Amii), Edmonton, Canada Seminar |
Martha White | 2020 | ||
|
Model-Based Reinforcement Learning Reinforcement Learning Summer School (RLSS), Edmonton, Canada Summer School |
Martha White | 2019 | ||
|
Some Thoughts about Learning Predictions Online Tea Time Talks (Amii), Edmonton, Canada Seminar |
Martha White | 2019 | ||
|
Adapting Behaviour via Intrinsic Rewards to Learn Predictions Exploration in Reinforcement Learning Workshop (ICML), Long Beach, USA Workshop |
Martha White | 2019 | ||
|
Learning Representations for Continual Learning Multi-task and Lifelong Learning Workshop (ICML), Long Beach, USA Workshop |
Martha White | 2019 | ||
|
Another Laundry List for Continual Learning Continual Learning Workshop (NeurIPS), Montreal, Canada Workshop |
Martha White | 2018 | ||
|
The Utility of Sparse Representations for Control in RL Deep Reinforcement Learning Workshop (NeurIPS), Montreal, Canada Workshop |
Martha White | 2018 | ||
|
An RNN Architecture using Value Functions Credit Assignment in Deep Learning and Deep Reinforcement Learning Workshop (ICML), Stockholm, Sweden Workshop |
Martha White | 2018 | ||
|
Upper Confidence Bounds on Action-Values Exploration in Reinforcement Learning Workshop (ICML), Stockholm, Sweden Workshop |
Martha White | 2018 | ||
|
Planning in Reinforcement Learning with Learned Models in Dyna Generative Models for Reinforcement Learning Workshop (DALI — Data, Learning and Inference), Canary Islands, Spain Workshop |
Martha White | 2018 | ||
|
Unifying Task Specification in Reinforcement Learning International Conference on Machine Learning (ICML), Sydney, Australia Conference |
Martha White | 2017 | ||
|
Adapting Kernel Representations Online Using Submodular Maximization Machine Learning Colloquium, Washington University in St. Louis, St. Louis, USA Seminar |
Martha White | 2017 | ||
|
Sample Efficient Methods for Reinforcement Learning School of Informatics and Computing Seminar, Indiana University, Bloomington, USA Seminar |
Martha White | 2015 |