Mouse Trap: Exploiting Firmware Updates in USB Peripherals. - Jacob Maskiewicz; Benjamin Ellis; James Mouradian; Hovav Shacham (WOOT, 2014)

Generalization in Cooperative Multi-Agent Systems. - Anuj Mahajan; Mikayel Samvelyan; Tarun Gupta 002; Benjamin Ellis; Mingfei Sun 001; Tim Rocktäschel; Shimon Whiteson (CoRR, 2022)

SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning. - Benjamin Ellis; Skander Moalla; Mikayel Samvelyan; Mingfei Sun 001; Anuj Mahajan; Jakob N. Foerster; Shimon Whiteson (CoRR, 2022)

SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning. - Benjamin Ellis; Jonathan Cook 004; Skander Moalla; Mikayel Samvelyan; Mingfei Sun 001; Anuj Mahajan; Jakob N. Foerster; Shimon Whiteson (NeurIPS, 2023)

Trust-Region-Free Policy Optimization for Stochastic Policies. - Mingfei Sun 001; Benjamin Ellis; Anuj Mahajan; Sam Devlin; Katja Hofmann; Shimon Whiteson (CoRR, 2023)

JaxMARL: Multi-Agent RL Environments in JAX. - Alexander Rutherford; Benjamin Ellis; Matteo Gallici; Jonathan Cook 004; Andrei Lupu; Garðar Ingvarsson; Timon Willi; Akbir Khan; Christian Schröder de Witt; Alexandra Souly; Saptarashmi Bandyopadhyay; Mikayel Samvelyan; et al. (CoRR, 2023)

A neutral zone classifier for three classes with an application to text mining. - Dylan C. Friel; Yunzhe Li; Benjamin Ellis; Daniel R. Jeske; Herbert K. H. Lee; Philip H. Kass (Stat. Anal. Data Min., 2023)

JaxMARL: Multi-Agent RL Environments and Algorithms in JAX. - Alexander Rutherford; Benjamin Ellis; Matteo Gallici; Jonathan Cook 004; Andrei Lupu; Garðar Ingvarsson; Timon Willi; Akbir Khan; Christian Schröder de Witt; Alexandra Souly; Saptarashmi Bandyopadhyay; Mikayel Samvelyan; et al. (AAMAS, 2024)

Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning. - Michael T. Matthews; Michael Beukman; Benjamin Ellis; Mikayel Samvelyan; Matthew Thomas Jackson; Samuel Coward; Jakob Nicolaus Foerster (ICML, 2024)

Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps. - Benjamin Ellis; Matthew Thomas Jackson; Andrei Lupu; Alexander David Goldie; Mattie Fellows; Shimon Whiteson; Jakob N. Foerster (NeurIPS, 2024)

JaxMARL: Multi-Agent RL Environments and Algorithms in JAX. - Alexander Rutherford; Benjamin Ellis; Matteo Gallici; Jonathan Cook 004; Andrei Lupu; Garðar Ingvarsson; Timon Willi; Ravi Hammond; Akbir Khan; Christian Schröder de Witt; Alexandra Souly; Saptarashmi Bandyopadhyay; et al. (NeurIPS, 2024)

Policy-Guided Diffusion. - Matthew Thomas Jackson; Michael T. Matthews; Cong Lu; Benjamin Ellis; Shimon Whiteson; Jakob Nicolaus Foerster (RLJ, 2024)

CURATe: Benchmarking Personalised Alignment of Conversational AI Assistants. - Lize Alberts; Benjamin Ellis; Andrei Lupu; Jakob N. Foerster (CoRR, 2024)

Beyond the Boundaries of Proximal Policy Optimization. - Charlie B. Tan; Edan Toledo; Benjamin Ellis; Jakob N. Foerster; Ferenc Huszár (CoRR, 2024)

Simplifying Deep Temporal Difference Learning. - Matteo Gallici; Mattie Fellows; Benjamin Ellis; Bartomeu Pou; Ivan Masmitja; Jakob Nicolaus Foerster; Mario Martin (ICLR, 2025)

OvercookedV2: Rethinking Overcooked for Zero-Shot Coordination. - Tobias Gessler; Tin Dizdarevic; Ani Calinescu; Benjamin Ellis; Andrei Lupu; Jakob Nicolaus Foerster (ICLR, 2025)