We will include a list of tasks with more details in the paper.

We thank the reviewers for all of these valuable comments. We provide point-by-point responses below. Re: generalize to other applications. Cooperative Navigation problem (Lowe et al. '17) and achieved a competitive mean reward (-4.8) against MADDPG Specifically, the stochastic target selection will make the executor inefficient to learn. We will further discuss the factors of each component in the next revision.

RoboCup is an international scientific initiative with the goal of advancing the state of the art of intelligent robots, AI and automation. The annual RoboCup event took place from 15-21 July in Salvador, Brazil. The Logistics League forms part of the Industrial League and is an application-driven league inspired by the industrial scenario of a smart factory. Ahead of the Brazil meeting, we spoke with three key members of the league to find out more. Alexander Ferrein is a RoboCup Trustee overseeing the Industrial League, and Till Hofmann and Wataru Uemura are Logistics League Executive Committee members.

RoboCup is an international scientific initiative with the goal of advancing the state of the art of intelligent robots, AI and automation. The annual RoboCup event, where teams gather from across the globe to take part in competitions across a number of leagues, this year took place in Salvador, Brazil from 15-21 July. In a series of interviews, we've been meeting some of the RoboCup trustees, committee members, and participants, to find out more about their respective leagues. Christoph Steup is an Executive Committee member and oversees the @Work League. Ahead of the event in Brazil, we spoke to Christoph to find out more about the @Work League, the tasks that teams need to complete, and future plans for the League.

We will include a list of tasks with more details in the paper.

The results are new and important to the field, and the analysis in this setting seems nontrivial. In addition, the paper also develops a new variant of TDC under a blockwise diminishing stepsize, and proves it asymptotically convergent with an arbitrarily small training error at linear convergence rate. Extensive experiments demonstrate that the new TDC variant can converge as fast as vanilla TDC with constant stepsize, and at the same time it enjoys comparable accuracy as TDC with diminishing stepsize. Overall, the paper has both analytical as well as practical value. However, the following issues need to be addressed. Markovian sample path has been studied in e.g., [30,34].

The future of driverless cars in America is a promotional booth with a surfboard and a movie director's clapboard. Robotaxis have officially arrived in Los Angeles, and last week, residents lined up in Santa Monica's main promenade to get a smartphone code needed to ride them. For now, the cars, from the Alphabet-owned start-up Waymo, won't leave the tame streets of Santa Monica. But in the coming months, they'll embark on a multi-month "tour" of the city, heading to West Hollywood, downtown L.A., and several other neighborhoods. For the past decade, the two leading robotaxi companies, Waymo and Cruise, have been focused primarily on San Francisco and Phoenix, where they both already take paid passengers.