AI RESEARCH
GIFT: Global stabilisation via Intrinsic Fine Tuning
arXiv CS.LG
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ArXi:2604.23312v1 Announce Type: new Deep reinforcement learning policies achieve strong performance in complex continuous control environments with nonlinear contact forces. However, these policies often produce chaotic state dynamics, with trivially small changes to the initial conditions significantly impacting the long-term behaviour of the control system. This high sensitivity to initial conditions limits the application of Deep RL to real-world control systems where performance and stability guarantees are often required.