Jack Parker-Holder
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
6
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games. | Davide Paglieri, Bartlomiej Cupial, Samuel Coward, Ulyana Piterbarg, Maciej Wolczyk, Akbir Khan, Eduardo Pignatelli, Lukasz Kucinski, Lerrel Pinto, Rob Fergus, Jakob Nicolaus Foerster, Jack Parker-Holder, Tim Rocktschel |
| 2024 | ICML | Position: Open-Endedness is Essential for Artificial Superhuman Intelligence. | Edward Hughes, Michael D. Dennis, Jack Parker-Holder, Feryal M. P. Behbahani, Aditi Mavalankar, Yuge Shi, Tom Schaul, Tim Rocktschel |
| 2024 | ICML | Genie: Generative Interactive Environments. | Jake Bruce, Michael D. Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Sarah Bechtle, Feryal M. P. Behbahani, Stephanie C. Y. Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott E. Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando de Freitas, Satinder Singh, Tim Rocktschel |
| 2024 | ICML | Position: Video as the New Language for Real-World Decision Making. | Sherry Yang, Jacob C. Walker, Jack Parker-Holder, Yilun Du, Jake Bruce, Andr Barreto, Pieter Abbeel, Dale Schuurmans |
| 2023 | ICLR | MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning. | Mikayel Samvelyan, Akbir Khan, Michael Dennis, Minqi Jiang, Jack Parker-Holder, Jakob Nicolaus Foerster, Roberta Raileanu, Tim Rocktschel |
| 2023 | ICML | Human-Timescale Adaptation in an Open-Ended Task Space. | Jakob Bauer, Kate Baumli, Feryal M. P. Behbahani, Avishkar Bhoopchand, Nathalie Bradley-Schmieg, Michael Chang, Natalie Clay, Adrian Collister, Vibhavari Dasagi, Lucy Gonzalez, Karol Gregor, Edward Hughes, Sheleem Kashem, Maria Loks-Thompson, Hannah Openshaw, Jack Parker-Holder, Shreya Pathak, Nicolas Perez Nieves, Nemanja Rakicevic, Tim Rocktschel, Yannick Schroecker, Satinder Singh, Jakub Sygnowski, Karl Tuyls, Sarah York, Alexander Zacherl, Lei M. Zhang |
| 2022 | AAAI | Same State, Different Task: Continual Reinforcement Learning without Interference. | Samuel Kessler, Jack Parker-Holder, Philip J. Ball, Stefan Zohren, Stephen J. Roberts |
| 2022 | AISTATS | Towards an Understanding of Default Policies in Multitask Policy Optimization. | Ted Moskovitz, Michael Arbel, Jack Parker-Holder, Aldo Pacchiano |
| 2022 | ICLR | Revisiting Design Choices in Offline Model Based Reinforcement Learning. | Cong Lu, Philip J. Ball, Jack Parker-Holder, Michael A. Osborne, Stephen J. Roberts |
| 2022 | ICML | From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers. | Krzysztof Choromanski, Han Lin, Haoxian Chen, Tianyi Zhang, Arijit Sehanobish, Valerii Likhosherstov, Jack Parker-Holder, Tams Sarls, Adrian Weller, Thomas Weingarten |
| 2022 | ICML | Evolving Curricula with Regret-Based Environment Design. | Jack Parker-Holder, Minqi Jiang, Michael Dennis, Mikayel Samvelyan, Jakob N. Foerster, Edward Grefenstette, Tim Rocktschel |
| 2021 | ICML | Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment. | Philip J. Ball, Cong Lu, Jack Parker-Holder, Stephen J. Roberts |
| 2021 | UAI | Towards tractable optimism in model-based reinforcement learning. | Aldo Pacchiano, Philip J. Ball, Jack Parker-Holder, Krzysztof Choromanski, Stephen Roberts |
| 2020 | AISTATS | Practical Nonisotropic Monte Carlo Sampling in High Dimensions via Determinantal Point Processes. | Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang |
| 2020 | ICML | Ready Policy One: World Building Through Active Learning. | Philip J. Ball, Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski, Stephen J. Roberts |
| 2020 | ICML | Stochastic Flows and Geometric Optimization on the Orthogonal Group. | Krzysztof Choromanski, David Cheikhi, Jared Davis, Valerii Likhosherstov, Achille Nazaret, Achraf Bahamou, Xingyou Song, Mrugank Akarte, Jack Parker-Holder, Jacob Bergquist, Yuan Gao, Aldo Pacchiano, Tams Sarls, Adrian Weller, Vikas Sindhwani |
| 2020 | ICML | Learning to Score Behaviors for Guided Policy Optimization. | Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang, Krzysztof Choromanski, Anna Choromanska, Michael I. Jordan |
| 2019 | CoRL | Provably Robust Blackbox Optimization for Reinforcement Learning. | Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang, Deepali Jain, Yuxiang Yang, Atil Iscen, Jasmine Hsu, Vikas Sindhwani |