Jun 15, 2024 · We present AdaptiveDriver, a model-predictive control (MPC) based planner that unrolls different world models conditioned on BehaviorNet's predictions.
We applied planning with an adaptive world model to a simulation of a real-time robotics task: A robot arm in 3-dimensional space was to approach a rolling ...
We propose a model-predictive-control (MPC)-based planner (AdaptiveDriver) that makes use of world models who's agent behaviours adapt to the sequence.
Abstract. We present a new connectionist planning method [TML90]. By interaction with an unknown environment, a world model is progressively construc(cid: ...
Jun 15, 2024 · We present AdaptiveDriver, a model-predictive control (MPC) based planner that unrolls different world models conditioned on BehaviorNet's predictions.
We present AdaptiveDriver, a planner based on model-predictive control (MPC) that unrolls and executes adaptive world models to safely navigate in diverse ...
Planning with an Adaptive World Model - Robotics Institute Carnegie ...
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We present a new connectionist planning method . By interaction with an unknown environment, a world model is progressively constructed using gradient ...
Sep 27, 2024 · This paper introduces AdaWM, a World Model-based planning method that uses an efficient finetuning strategy to adapt to new tasks different from ...
Recommendations · Planning with an adaptive world model. NIPS'90: Proceedings of the 3rd International Conference on Neural Information Processing Systems.
Sep 22, 2024 · Overview. This paper presents a new approach for planning with adaptive world models in the context of autonomous driving.