Simulator for Zero-Shot Sim-to-Real Deep Reinforcement Learning
References
[1] S. Sivashangaran, A. Khairnar and A. Eskandarian, “AutoVRL: A High Fidelity Autonomous Ground Vehicle Simulator for Sim-to-Real Deep Reinforcement Learning," IFAC-PapersOnLine, vol. 56, no. 3, pp. 475-480, Dec. 2023. (Link) (Preprint)
[2] S. Sivashangaran and A. Eskandarian, “XTENTH-CAR: A Proportionally Scaled Experimental Vehicle Platform for Connected Autonomy and All-Terrain Research," Proceedings of the ASME 2023 International Mechanical Engineering Congress and Exposition. Volume 6: Dynamics, Vibration, and Control. New Orleans, LA, USA, Oct. 29–Nov. 2, 2023. V006T07A068. American Society of Mechanical Engineers. (Link) (Preprint)
[3] S. Sivashangaran and A. Eskandarian, “Deep Reinforcement Learning for Autonomous Ground Vehicle Exploration Without A-Priori Maps," Advances in Artificial Intelligence and Machine Learning, 3 (2), 1198-1219, Jun. 2023. (Link) (Preprint)
[4] S. Sivashangaran, A. Khairnar and A. Eskandarian, “Exploration Without Maps via Zero-Shot Out-of-Distribution Deep Reinforcement Learning,” arXiv preprint arXiv:2402.05066, Feb. 2024. (Link)