Master Thesis Title: Physical Recursive Self Improvement (P-RSI)

What if a robot’s training pipeline could improve itself? Today, getting a reinforcement-learning policy from simulation onto a real robot takes long, manual tuning by a few experts. Recursive self-improvement (RSI) offers a potential solution by enabling systems to optimize not only their task policies, but also the underlying algorithms and environments that generate them. While RSI has achieved success in software domains through automated code generation and unit testing, extending these me…