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Research questionHow can latent world-model planners make decoded terminal descriptors match target goals?A planner can find an action sequence that matches a goal in latent space while its decoded terminal descriptor misses the requested target. This creates a mismatch between the optimized world-model objective and the externally specified control goal.
AI
Machine Learning
Reinforcement Learning
Robotics
Latest papersRecent research connected to this question, newest first.Latent Energy Action Planning with World ModelsThe source evaluates planning with frozen LeWorldModel checkpoints across four control domains, using complete action-horizon optimization and admissible action projection. Evidence is limited to the released checkpoints and the matched evaluation protocol reported there.research paper · Sep 3, 2026
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