Matthew Thomas Jackson

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 10

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Eligibility Traces

Reinforcement Learning

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Publications

Alexander David Goldie, Chris Lu, Matthew Thomas Jackson, Shimon Whiteson, Jakob Nicolaus Foerster
Can Learned Optimization Make Reinforcement Learning Less Difficult? CoRR (2024)
Matthew Thomas Jackson, Chris Lu, Louis Kirsch, Robert Tjarko Lange, Shimon Whiteson, Jakob Nicolaus Foerster
Discovering Temporally-Aware Reinforcement Learning Algorithms. ICLR (2024)
Matthew Thomas Jackson, Chris Lu, Louis Kirsch, Robert Tjarko Lange, Shimon Whiteson, Jakob Nicolaus Foerster
Discovering Temporally-Aware Reinforcement Learning Algorithms. CoRR (2024)
Jacob Beck, Matthew Thomas Jackson, Risto Vuorio, Zheng Xiong, Shimon Whiteson
SplAgger: Split Aggregation for Meta-Reinforcement Learning. CoRR (2024)
Matthew Thomas Jackson, Michael T. Matthews, Cong Lu, Benjamin Ellis, Shimon Whiteson, Jakob N. Foerster
Policy-Guided Diffusion. CoRR (2024)
Michael Matthews, Michael Beukman, Benjamin Ellis, Mikayel Samvelyan, Matthew Thomas Jackson, Samuel Coward, Jakob N. Foerster
Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning. CoRR (2024)
Matthew Thomas Jackson, Minqi Jiang, Jack Parker-Holder, Risto Vuorio, Chris Lu, Gregory Farquhar, Shimon Whiteson, Jakob N. Foerster
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design. NeurIPS (2023)
Matthew Thomas Jackson, Minqi Jiang, Jack Parker-Holder, Risto Vuorio, Chris Lu, Gregory Farquhar, Shimon Whiteson, Jakob Nicolaus Foerster
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design. CoRR (2023)
Jacob Beck, Matthew Thomas Jackson, Risto Vuorio, Shimon Whiteson
Hypernetworks in Meta-Reinforcement Learning. CoRR (2022)
Jacob Beck, Matthew Thomas Jackson, Risto Vuorio, Shimon Whiteson
Hypernetworks in Meta-Reinforcement Learning. CoRL (2022)