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cs.RO2025
From Abstraction to Reality: DARPA's Vision for Robust Sim-to-Real Autonomy
Erfaun Noorani, Zachary Serlin, Ben Price +1
The DARPA Transfer from Imprecise and Abstract Models to Autonomous Technologies (TIAMAT) program aims to address rapid and robust transfer of autonomy technologies across dynamic…
cs.LG2025★ 3 cited
A Survey of Sim-to-Real Methods in RL: Progress, Prospects and Challenges with Foundation Models
Longchao Da, Justin Turnau, Thirulogasankar Pranav Kutralingam +3
Deep Reinforcement Learning (RL) has been explored and verified to be effective in solving decision-making tasks in various domains, such as robotics, transportation, recommender s…