ELVIS achieves state-of-the-art results on 14 visual control tasks and zero-shot real-world transfer by using ensemble-calibrated lambda-returns and Gaussian-mixture MPPI inside a latent RSSM planner.
Trust the Model Where It Trusts Itself: Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption
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ELVIS: Ensemble-Calibrated Latent Imagination for Long-Horizon Visual MPC
ELVIS achieves state-of-the-art results on 14 visual control tasks and zero-shot real-world transfer by using ensemble-calibrated lambda-returns and Gaussian-mixture MPPI inside a latent RSSM planner.