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CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long Horizon Manipulation Tasks
CALVIN: A Benchmark for Language-conditioned Policy Learning for Long-horizon Manipulation Tasks
CALVIN A Benchmark for Language Conditioned Policy Learning for Long Horizon Robot Manipulation Task
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors
Self-Supervised Learning of Long-Horizon Manipulation Tasks with Finite-State Task Machines
[REFAI Seminar 03/22/22] Toward Efficiently Solving Long-Horizon Robotic Manipulation Tasks
Self-Supervised Learning of Long-Horizon Manipulation Tasks with Finite-State Task Machines
Reactive long horizon task execution via visual skill and precondition models
Modeling Long-horizon Tasks as Sequential Interaction Landscapes
Symbolic-decision-embedded bilevel optimization for long-horizon manipulation in dynamic environment
RSS 2020, Spotlight Talk 61: GTI: Learning to Generalize across Long-Horizon Tasks from Human Dem...
Learning Geometric Reasoning and Control for Long-Horizon Tasks from Visual Input - ICRA 2021