FlexLoop: Depth-Elastic Looped Policies for Adaptive Test-Time Computation in Deep RL.

arXiv:2609.34488v1 Announce Type: cross Abstract: Looped architectures scale computation by reusing the same parameters across recurrent steps, and recent work shows that they substantially improve deep reinforcement learning policies on long-horizon tasks. Si