A new research paper explores the transferability of communication mechanisms between robotic agents across different simulation environments. The study specifically investigates whether a communication strategy co-evolved in a 2D simulator retains its effectiveness when applied to a more complex 3D physics-based simulator. Findings suggest that performance increases with episode time budget and that a social cue acts more as an assistance mechanism than a navigation guide, with a more pronounced effect in the 2D environment. The research also analyzed asymmetry between agent roles and potential factors contributing to a performance gap after transfer. AI
IMPACT Investigates the fundamental challenge of sim-to-real transfer for learned communication protocols in multi-agent systems.
RANK_REASON Research paper published on arXiv detailing findings on co-evolved communication transfer in robotics simulations. [lever_c_demoted from research: ic=1 ai=1.0]
Read on arXiv cs.NE (Neural & Evolutionary) →
- 2D computer graphics
- 3D computer graphics
- alphaXiv
- arXiv
- CatalyzeX
- DagsHub
- Fernando Montes-Gonzalez
- Gotit.pub
- Hugging Face
- robotics
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →