RepGraph: Visualising and Analysing Meaning Representation Graphs. - Jaron Cohen; Roy Cohen; Edan Toledo; Jan Buys (EMNLP (Demos), 2021)

Policy-based Reinforcement Learning for Generalisation in Interactive Text-based Environments. - Edan Toledo; Jan Buys; Jonathan P. Shock (EACL, 2023)

SPO: Sequential Monte Carlo Policy Optimisation. - Matthew Macfarlane; Edan Toledo; Donal Byrne; Paul Duckworth; Alexandre Laterre (NeurIPS, 2024)

SMX: Sequential Monte Carlo Planning for Expert Iteration. - Matthew V. Macfarlane; Edan Toledo; Donal Byrne; Siddarth Singh; Paul Duckworth; Alexandre Laterre (CoRR, 2024)

CoDreamer: Communication-Based Decentralised World Models. - Edan Toledo; Amanda Prorok (CoRR, 2024)

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

POPGym Arcade: Parallel Pixelated POMDPs. - Zekang Wang; Zhe He; Edan Toledo; Steven Morad (CoRR, 2025)

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements. - Bingchen Zhao; Despoina Magka; Minqi Jiang; Xian Li; Roberta Raileanu; Tatiana Shavrina; Jean-Christophe Gagnon-Audet; Kelvin Niu; Shagun Sodhani; Michael Shvartsman; Andrei Lupu; Alisia Maria Lupidi; et al. (CoRR, 2025)

AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench. - Edan Toledo; Karen Hambardzumyan; Martin Josifoski; Rishi Hazra; Nicolas Mario Baldwin; Alexis Audran-Reiss; Michael Kuchnik; Despoina Magka; Minqi Jiang; Alisia Maria Lupidi; Andrei Lupu; Roberta Raileanu; et al. (CoRR, 2025)