2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.LG2026★ 2 cited
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX
Alexander Rutherford, Benjamin Ellis, Matteo Gallici +18
Benchmarks are crucial in the development of machine learning algorithms, with available environments significantly influencing reinforcement learning (RL) research. Traditionally,…
cs.AI2025
BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games
Davide Paglieri, BartÅomiej CupiaÅ, Samuel Coward +10
Large Language Models (LLMs) and Vision Language Models (VLMs) possess extensive knowledge and exhibit promising reasoning abilities, however, they still struggle to perform well i…