Abstract: An analgesic and antipruritic pharmaceutical composition, including PF-05089771 shown as and PF-04885614 shown as An application of the analgesic and antipruritic pharmaceutical composition in the treatment of a disease in which both a voltage-gated sodium channel 1.7 (Nav1.7) and a voltage-gated sodium channel 1.8 (Nav1.8) are involved.

Abstract: An analgesic and antipruritic pharmaceutical composition, including PF-05089771 shown as and PF-04885614 shown as An application of the analgesic and antipruritic pharmaceutical composition in the treatment of a disease in which both a voltage-gated sodium channel 1.7 (Nav1.7) and a voltage-gated sodium channel 1.8 (Nav1.8) are involved.

Abstract: Systems and methods for incorporating latent states into robotic planning are provided. In one embodiment, the method includes identifying an agent team including at least one robotic agent and at least one human agent. The method also includes receiving sensor data associated with relative physical parameters between the at least one robotic agent and the at least one human agent. The method further includes modeling the latent states of the at least one human agent as a behavior model. The latent states describe cognition of the at least one human agent. The method includes calculating a first belief state based on the relative physical parameters and the behavior model. The method yet further includes predicting future probabilities of future observations at a second the future probabilities.

Abstract: Methods, systems, and apparatus for predicting future trajectories of agents in an environment. In one aspect, a system comprises one or more computers configured to receive a data set comprising multiple training examples. The training examples include scene data comprising respective agent data for multiple agents and a ground truth trajectory for a target agent that represents ground truth motion of the target agent after a corresponding time point. The one or more computers obtain data identifying one or more of the multiple agents as non-causal agents for each training example. A non-causal agent is an agent whose states do not cause the ground truth trajectory for the target agent to change. The one or more computers generate a respective modified training example from each of the multiple training examples.

Abstract: An analgesic and antipruritic pharmaceutical composition, including PF-05089771 shown as and PF-04885614 shown as An application of the analgesic and antipruritic pharmaceutical composition in the treatment of a disease in which both a voltage-gated sodium channel 1.7 (Nav1.7) and a voltage-gated sodium channel 1.8 (Nav1.8) are involved.

Abstract: Systems and methods for incorporating latent states into robotic planning are provided. In one embodiment, the method includes identifying an agent team including at least one robotic agent and at least one human agent. The method also includes receiving sensor data associated with relative physical parameters between the at least one robotic agent and the at least one human agent. The method further includes modeling the latent states of the at least one human agent as a behavior model. The latent states describe cognition of the at least one human agent. The method includes calculating a first belief state based on the relative physical parameters and the behavior model. The method yet further includes predicting future probabilities of future observations at a second the future probabilities.