A Review of Nine Physics Engines for Reinforcement Learning Research
Published in arXiv preprint arXiv:2407.08590, 2024
This paper provides a comprehensive review of nine physics engines commonly used in reinforcement learning research. We analyze their capabilities, performance characteristics, and suitability for various RL applications, providing researchers with guidance on selecting appropriate physics engines for their specific use cases.
Recommended citation: Kaup, M., Wolff, C., Hwang, H., Mayer, J., & Bruni, E. (2024). "A Review of Nine Physics Engines for Reinforcement Learning Research." arXiv preprint arXiv:2407.08590.
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