Matthew Thomas Jackson

27 papers A* 6Misc 1Journal 19Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Clean Slate for Offline Reinforcement Learning.
CoRR
Matthew Thomas Jackson, Uljad Berdica, Jarek Liesen, Shimon Whiteson, Jakob Nicolaus Foerster
2025 J jnl
An Optimisation Framework for Unsupervised Environment Design.
CoRR
Nathan Monette, Alistair Letcher, Michael Beukman, Matthew Thomas Jackson, Alexander Rutherford, Alexander David Goldie, Jakob N. Foerster
2025 J jnl
HyperVLA: Efficient Inference in Vision-Language-Action Models via Hypernetworks.
CoRR
Zheng Xiong, Kang Li, Zilin Wang, Matthew Thomas Jackson, Jakob N. Foerster, Shimon Whiteson
2025 J jnl
Imagined Autocurricula.
CoRR
Ahmet Hamdi Güzel, Matthew Thomas Jackson, Jarek Liesen, Tim Rocktäschel, Jakob Nicolaus Foerster, Ilija Bogunovic, Jack Parker-Holder
2025 J jnl
Judge a Book by its Cover: Investigating Multi-Modal LLMs for Multi-Page Handwritten Document Transcription.
CoRR
Benjamin Gutteridge, Matthew Thomas Jackson, Toni Kukurin, Xiaowen Dong
2024 A* conf
Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps.
NeurIPS
Benjamin Ellis, Matthew Thomas Jackson, Andrei Lupu, Alexander David Goldie, Mattie Fellows, Shimon Whiteson, Jakob N. Foerster
2024 J jnl
Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps.
CoRR
Benjamin Ellis, Matthew Thomas Jackson, Andrei Lupu, Alexander David Goldie, Mattie Fellows, Shimon Whiteson, Jakob N. Foerster
2024 A* conf
Can Learned Optimization Make Reinforcement Learning Less Difficult?
NeurIPS
Alexander David Goldie, Chris Lu, Matthew Thomas Jackson, Shimon Whiteson, Jakob N. Foerster
2024 J jnl
Can Learned Optimization Make Reinforcement Learning Less Difficult?
CoRR
Alexander David Goldie, Chris Lu, Matthew Thomas Jackson, Shimon Whiteson, Jakob Nicolaus Foerster
2024 A* conf
Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning.
ICML
Michael T. Matthews, Michael Beukman, Benjamin Ellis, Mikayel Samvelyan, Matthew Thomas Jackson, Samuel Coward, Jakob Nicolaus Foerster
2024 J jnl
Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning.
CoRR
Michael T. Matthews, Michael Beukman, Benjamin Ellis, Mikayel Samvelyan, Matthew Thomas Jackson, Samuel Coward, Jakob N. Foerster
2024 A* conf
Discovering Temporally-Aware Reinforcement Learning Algorithms.
ICLR
Matthew Thomas Jackson, Chris Lu, Louis Kirsch, Robert Tjarko Lange, Shimon Whiteson, Jakob Nicolaus Foerster
2024 J jnl
Discovering Temporally-Aware Reinforcement Learning Algorithms.
CoRR
Matthew Thomas Jackson, Chris Lu, Louis Kirsch, Robert T. Lange, Shimon Whiteson, Jakob Nicolaus Foerster
2024 J jnl
Near to Mid-term Risks and Opportunities of Open Source Generative AI.
CoRR
Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Botos Csaba, Fabro Steibel, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan A. Nolazco-Flores, Lori Landay, Matthew Thomas Jackson, Paul Röttger, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster
2024 J jnl
Policy-Guided Diffusion.
RLJ
Matthew Thomas Jackson, Michael T. Matthews, Cong Lu, Benjamin Ellis, Shimon Whiteson, Jakob Nicolaus Foerster
2024 J jnl
Policy-Guided Diffusion.
CoRR
Matthew Thomas Jackson, Michael T. Matthews, Cong Lu, Benjamin Ellis, Shimon Whiteson, Jakob N. Foerster
2024 A* conf
Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI.
ICML
Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Botos Csaba, Fabro Steibel, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan A. Nolazco-Flores, Lori Landay, Matthew Thomas Jackson, Paul Röttger, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster
2024 — conf
Reinforcement Learning Controllers for Soft Robots Using Learned Environments.
RoboSoft
Uljad Berdica, Matthew Thomas Jackson, Niccolò Enrico Veronese, Jakob N. Foerster, Perla Maiolino
2024 J jnl
Reinforcement Learning Controllers for Soft Robots using Learned Environments.
CoRR
Uljad Berdica, Matthew Thomas Jackson, Niccolò Enrico Veronese, Jakob N. Foerster, Perla Maiolino
2024 J jnl
Risks and Opportunities of Open-Source Generative AI.
CoRR
Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Aaron Purewal, Botos Csaba, Fabro Steibel, Fazel Keshtkar, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan Arturo Nolazco, Lori Landay, Matthew Thomas Jackson, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster
2024 J jnl
SplAgger: Split Aggregation for Meta-Reinforcement Learning.
RLJ
Jacob Beck, Matthew Thomas Jackson, Risto Vuorio, Zheng Xiong, Shimon Whiteson
2024 J jnl
SplAgger: Split Aggregation for Meta-Reinforcement Learning.
CoRR
Jacob Beck, Matthew Thomas Jackson, Risto Vuorio, Zheng Xiong, Shimon Whiteson
2023 A* conf
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design.
NeurIPS
Matthew Thomas Jackson, Minqi Jiang, Jack Parker-Holder, Risto Vuorio, Chris Lu, Gregory Farquhar, Shimon Whiteson, Jakob N. Foerster
2023 J jnl
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design.
CoRR
Matthew Thomas Jackson, Minqi Jiang, Jack Parker-Holder, Risto Vuorio, Chris Lu, Gregory Farquhar, Shimon Whiteson, Jakob Nicolaus Foerster
2022 Misc conf
Hypernetworks in Meta-Reinforcement Learning.
CoRL
Jacob Beck, Matthew Thomas Jackson, Risto Vuorio, Shimon Whiteson
2022 J jnl
Hypernetworks in Meta-Reinforcement Learning.
CoRR
Jacob Beck, Matthew Thomas Jackson, Risto Vuorio, Shimon Whiteson
2022 J jnl
Multi-Modal Fusion by Meta-Initialization.
CoRR
Matthew Thomas Jackson, Shreshth A. Malik, Michael T. Matthews, Yousuf Mohamed-Ahmed