We have 2 of 12 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Proposed Potential-Guided Policy Optimization (PGPO) provides finer-grained step-level credit assignment, especially within failed trajectories, and shows strong overall performance relative to recent group-based RL methods.
SLIM (Self-supervised Latent Interaction Model), a compact 0.5B-parameter latent interaction policy, which matches or exceeds representative large-scale VLA and world-action-model baselines with fewer parameters, no additional embodied pretraining, lower inference latency, and substantially lower GPU memory usage.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
