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Eduardo Pignatelli

2 accepted papers

2025

BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games

ICLR 2025poster

Large Language Models (LLMs) and Vision Language Models (VLMs) possess extensive knowledge and exhibit promising reasoning abilities, however, they still struggle to perform well in complex, dynamic environments. Real-world tasks require handling intricate interactions, advanced spatial reasoning, l…

Cited by 9SourcePDFScholar
2025

NAVIX: Scaling MiniGrid Environments with JAX

NeurIPS 2025poster

As Deep Reinforcement Learning (Deep RL) research moves towards solving large-scale worlds, efficient environment simulations become crucial for rapid experimentation. However, most existing environments struggle to scale to high throughput, setting back meaningful progress. Interactions are typical…

Cited by 0SourcecodeScholar