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Lewis Hammond
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2020 – today
- 2024
- [c9]Lewis Hammond, James Fox, Tom Everitt, Ryan Carey, Alessandro Abate, Michael J. Wooldridge:
Reasoning about Causality in Games (Abstract Reprint). AAAI 2024: 22697 - [c8]Alan Chan, Carson Ezell, Max Kaufmann, Kevin Wei, Lewis Hammond, Herbie Bradley, Emma Bluemke, Nitarshan Rajkumar, David Krueger, Noam Kolt, Lennart Heim, Markus Anderljung:
Visibility into AI Agents. FAccT 2024: 958-973 - [c7]Oliver Sourbut, Lewis Hammond, Harriet Wood:
Cooperation and Control in Delegation Games. IJCAI 2024: 229-237 - [c6]Daniel Jarne Ornia, Licio Romao, Lewis Hammond, Manuel Mazo Jr., Alessandro Abate:
Bounded robustness in reinforcement learning via lexicographic objectives. L4DC 2024: 954-967 - [i14]Alan Chan, Carson Ezell, Max Kaufmann, Kevin Wei, Lewis Hammond, Herbie Bradley, Emma Bluemke, Nitarshan Rajkumar, David Krueger, Noam Kolt, Lennart Heim, Markus Anderljung:
Visibility into AI Agents. CoRR abs/2401.13138 (2024) - [i13]Sumeet Ramesh Motwani, Mikhail Baranchuk, Martin Strohmeier, Vijay Bolina, Philip H. S. Torr, Lewis Hammond, Christian Schröder de Witt:
Secret Collusion Among Generative AI Agents. CoRR abs/2402.07510 (2024) - [i12]Oliver Sourbut, Lewis Hammond, Harriet Wood:
Cooperation and Control in Delegation Games. CoRR abs/2402.15821 (2024) - [i11]Usman Anwar, Abulhair Saparov, Javier Rando, Daniel Paleka, Miles Turpin, Peter Hase, Ekdeep Singh Lubana, Erik Jenner, Stephen Casper, Oliver Sourbut, Benjamin L. Edelman, Zhaowei Zhang, Mario Günther, Anton Korinek, José Hernández-Orallo, Lewis Hammond, Eric J. Bigelow, Alexander Pan, Lauro Langosco, Tomasz Korbak, Heidi Zhang, Ruiqi Zhong, Seán Ó hÉigeartaigh, Gabriel Recchia, Giulio Corsi, Alan Chan, Markus Anderljung, Lilian Edwards, Yoshua Bengio, Danqi Chen, Samuel Albanie, Tegan Maharaj, Jakob N. Foerster, Florian Tramèr, He He, Atoosa Kasirzadeh, Yejin Choi, David Krueger:
Foundational Challenges in Assuring Alignment and Safety of Large Language Models. CoRR abs/2404.09932 (2024) - [i10]Alan Chan, Noam Kolt, Peter Wills, Usman Anwar, Christian Schröder de Witt, Nitarshan Rajkumar, Lewis Hammond, David Krueger, Lennart Heim, Markus Anderljung:
IDs for AI Systems. CoRR abs/2406.12137 (2024) - [i9]Anka Reuel, Ben Bucknall, Stephen Casper, Tim Fist, Lisa Soder, Onni Aarne, Lewis Hammond, Lujain Ibrahim, Alan Chan, Peter Wills, Markus Anderljung, Ben Garfinkel, Lennart Heim, Andrew Trask, Gabriel Mukobi, Rylan Schaeffer, Mauricio Baker, Sara Hooker, Irene Solaiman, Alexandra Sasha Luccioni, Nitarshan Rajkumar, Nicolas Moës, Jeffrey Ladish, Neel Guha, Jessica Newman, Yoshua Bengio, Tobin South, Alex Pentland, Sanmi Koyejo, Mykel J. Kochenderfer, Robert Trager:
Open Problems in Technical AI Governance. CoRR abs/2407.14981 (2024) - 2023
- [j3]Lewis Hammond, James Fox, Tom Everitt, Ryan Carey, Alessandro Abate, Michael J. Wooldridge:
Reasoning about causality in games. Artif. Intell. 320: 103919 (2023) - [c5]James Fox, Matt MacDermott, Lewis Hammond, Paul Harrenstein, Alessandro Abate, Michael J. Wooldridge:
On Imperfect Recall in Multi-Agent Influence Diagrams. TARK 2023: 201-220 - [i8]Lewis Hammond, James Fox, Tom Everitt, Ryan Carey, Alessandro Abate, Michael J. Wooldridge:
Reasoning about Causality in Games. CoRR abs/2301.02324 (2023) - [i7]Gabriel Mukobi, Hannah Erlebach, Niklas Lauffer, Lewis Hammond, Alan Chan, Jesse Clifton:
Welfare Diplomacy: Benchmarking Language Model Cooperation. CoRR abs/2310.08901 (2023) - 2022
- [c4]Joar Skalse, Lewis Hammond, Charlie Griffin, Alessandro Abate:
Lexicographic Multi-Objective Reinforcement Learning. IJCAI 2022: 3430-3436 - [i6]Daniel Jarne Ornia, Licio Romao, Lewis Hammond, Manuel Mazo Jr., Alessandro Abate:
Observational Robustness and Invariances in Reinforcement Learning via Lexicographic Objectives. CoRR abs/2209.15320 (2022) - [i5]Joar Skalse, Lewis Hammond, Charlie Griffin, Alessandro Abate:
Lexicographic Multi-Objective Reinforcement Learning. CoRR abs/2212.13769 (2022) - 2021
- [j2]Alessandro Abate, Julian Gutierrez, Lewis Hammond, Paul Harrenstein, Marta Kwiatkowska, Muhammad Najib, Giuseppe Perelli, Thomas Steeples, Michael J. Wooldridge:
Rational verification: game-theoretic verification of multi-agent systems. Appl. Intell. 51(9): 6569-6584 (2021) - [j1]Lewis Hammond, Vaishak Belle:
Learning tractable probabilistic models for moral responsibility and blame. Data Min. Knowl. Discov. 35(2): 621-659 (2021) - [c3]Lewis Hammond, James Fox, Tom Everitt, Alessandro Abate, Michael J. Wooldridge:
Equilibrium Refinements for Multi-Agent Influence Diagrams: Theory and Practice. AAMAS 2021: 574-582 - [c2]Lewis Hammond, Alessandro Abate, Julian Gutierrez, Michael J. Wooldridge:
Multi-Agent Reinforcement Learning with Temporal Logic Specifications. AAMAS 2021: 583-592 - [c1]Julian Gutierrez, Lewis Hammond, Anthony W. Lin, Muhammad Najib, Michael J. Wooldridge:
Rational Verification for Probabilistic Systems. KR 2021: 312-322 - [i4]Lewis Hammond, Alessandro Abate, Julian Gutierrez, Michael J. Wooldridge:
Multi-Agent Reinforcement Learning with Temporal Logic Specifications. CoRR abs/2102.00582 (2021) - [i3]Lewis Hammond, James Fox, Tom Everitt, Alessandro Abate, Michael J. Wooldridge:
Equilibrium Refinements for Multi-Agent Influence Diagrams: Theory and Practice. CoRR abs/2102.05008 (2021) - [i2]Julian Gutierrez, Lewis Hammond, Anthony W. Lin, Muhammad Najib, Michael J. Wooldridge:
Rational Verification for Probabilistic Systems. CoRR abs/2107.09119 (2021)
2010 – 2019
- 2018
- [i1]Lewis Hammond, Vaishak Belle:
Deep Tractable Probabilistic Models for Moral Responsibility. CoRR abs/1810.03736 (2018)
Coauthor Index
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