Empirical Evaluation of Trust Region Compensation for Graph Policies in Variable-Dimensional MuJoCo Control
Evaluate and improve the submitted work on graph-based reinforcement learning policies under variable action-space dimensionality, with particular focus on empirically testing whether PPO clipping behavior scales with action dimension across MuJoCo-style morphology benchmarks.