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Matthew T. Jackson

3 papers · 2023–2024 · 1 venue · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌉 Interdisciplinary Bridge · Bronze ❓ The Questioner

Venues

NeurIPS (3)

Top co-authors

Shimon Whiteson (3) Alexander D. Goldie (2) Chris Lu (2) Jakob N. Foerster (2) Benjamin Ellis (1) Andrei Lupu (1) Jakob Foerster (1) Minqi Jiang (1) Jack Parker-Holder (1) Risto Vuorio (1)

Research topics

Artificial Intelligence (2) Machine Learning (2) Reinforcement Learning (2) Learning Paradigms · Artificial Intelligence (2) Methods (2) Optimization & Theory (2) Learning Paradigms · Machine Learning (1) Learning Types (1)

Keywords

reinforcement learning (2) policy gradient (1) curriculum learning (1) learned optimization (1) update rule (1) plasticity loss (1) non-stationary learning (1) target network (1) learned optimizer (1) neural network optimizer (1) gradient magnitude (1) adversarial environment design (1) algorithm generalization (1) learning rate annealing (1)

Papers

Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps NeurIPS 2024 Can Learned Optimization Make Reinforcement Learning Less Difficult? NeurIPS 2024 Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design NeurIPS 2023