APA (7th ed.) Citation

Pandaram, M., Hollenstein, J., Drexel, D., Tosatto, S., Rodríguez-Sánchez, A., & Piater, J. (2025). Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks.

Chicago Style (17th ed.) Citation

Pandaram, Muthukumar, Jakob Hollenstein, David Drexel, Samuele Tosatto, Antonio Rodríguez-Sánchez, and Justus Piater. Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks. 2025.

MLA (9th ed.) Citation

Pandaram, Muthukumar, et al. Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks. 2025.

Warning: These citations may not always be 100% accurate.