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20212026
most citedMeasuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark

7 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

COrigami: An AI Pipeline for Co-Designing Flat-Foldable Visually Recognisable Origami

Tom Zahavy, Shaobo Hou, Thomas Tumiel +16

While generative AI has achieved remarkable success in solving problems with verifiable solutions, generating physical art that satisfies both strict geometric constraints and subj…

cs.AI2025

Generating Creative Chess Puzzles

Xidong Feng, Vivek Veeriah, Marcus Chiam +10

While Generative AI rapidly advances in various domains, generating truly creative, aesthetic, and counter-intuitive outputs remains a challenge. This paper presents an approach to…

cs.AI2025

Evaluating In Silico Creativity: An Expert Review of AI Chess Compositions

Vivek Veeriah, Federico Barbero, Marcus Chiam +10

The rapid advancement of Generative AI has raised significant questions regarding its ability to produce creative and novel outputs. Our recent work investigates this question with…

cs.LG2021★ 2 cited

On pseudo-absence generation and machine learning for locust breeding ground prediction in Africa

Ibrahim Salihu Yusuf, Kale-ab Tessera, Thomas Tumiel +4

Desert locust outbreaks threaten the food security of a large part of Africa and have affected the livelihoods of millions of people over the years. Machine learning (ML) has been…

cs.LG2021★ 7 cited

Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark

Sharada Mohanty, Jyotish Poonganam, Adrien Gaidon +20

The NeurIPS 2020 Procgen Competition was designed as a centralized benchmark with clearly defined tasks for measuring Sample Efficiency and Generalization in Reinforcement Learning…