In recent years, autonomous driving has become a popular field of study. As control at tire grip limit is essential during emergency situations, algorithms developed for racecars are useful for road cars too. This paper examines the use of Deep Reinforcement Learning (DRL) to solve the problem of "grip limit driving" in a simulated environment. Proximal Policy Optimization (PPO) method is used to train an agent to control the steering wheel and pedals of the vehicle, using only visual inputs to achieve professional human lap times. The paper outlines the formulation of the task of time optimal driving on a race track as a deep reinforcement learning problem, and explains the chosen observations, actions, and reward functions. The results demonstrate human-like learning and driving behavior that utilize maximum tire grip potential.

The Gran Turismo Sophy A.I. does a lap of the course. The Gran Turismo Sophy A.I. does a lap of the course. An artificial intelligence program has beaten the world's best players in the popular PlayStation racing game Gran Turismo Sport, and in doing so may have contributed towards designing better autonomous vehicles in the real world, according to one expert. The latest development comes after an interesting couple of decades for A.I. playing games. It began with chess, when world champion Garry Kasparov lost to IBM's Deep Blue in a match in 1997.

Sony has developed what it's calling a breakthrough artificial intelligence program for the Gran Turismo series of PlayStation racing games. The software, called Gran Turismo Sophy, is so sophisticated, Sony says, that it handily beat a group of the world's best virtual race car drivers in test version of the 2017 game Gran Turismo Sport in October. "Outracing human drivers so skillfully in a head-to-head competition represents a landmark achievement for AI," Chris Gerdes, a Stanford professor specializing in autonomous driving, wrote in a Nature article published alongside Sony's research. Gerdes said this research could one day affect self-driving car development, according to Wired. "GT Sophy's success on the track suggests that neural networks might one day have a larger role in the software of automated vehicles than they do today," Gerdes wrote.

Automation in the legal profession will most probably be "a decades-long process" but artificial intelligence (AI) is redefining what it means to be a'great' lawyer. It also means that the market for legal services "will be IT-driven", according to a white paper from Swiss AI consultancy Logol. It used a sports analogy to compare the lawyer of the past to a marathon runner, who after years of training, competes in races relying solely on his muscular strength and endurance. The lawyer of the future, by contrast, "is a race car driver, who, thanks to his car, can move much faster than the marathon runner". It explained: "While physical fitness and endurance are still important characteristics of great race car drivers, pilots also need to understand and master the controls of their car in order to win the race. "The lawyer of tomorrow will no longer have to be the'fastest runner', but the'best driver'; and this will probably hold true for many decades to come." Logol said that recent developments in commercial as well as experimental applications indicated that AI would lead to "unprecedented levels of automation in the legal sector", redefining "the business scenario" and the cost of services, and providing great benefits to the consumer. "However, traditional'human' lawyers are not in danger of disappearing any time soon.

NASCAR race when fans were in the seats, which will happen again soon, and meanwhile let's consider ... [ ] adding self-driving cars to the mix too. "Drivers, start your engines" was the battle cry this weekend. NASCAR racing is back underway after a ten-week halt due to the pandemic, and Sunday's winner was long-time race car driver Kevin Harvick, also known as The Closer or Happy Harvick. He certainly did the closing on Sunday and indubitably seemed quite happy with the outcome. There were forty race cars and each of the 40 drivers expressed elation to be racing once again after the lengthy furlough.

With the techniques available today, you often have to choose between data-driven methods and approaches grounded in fundamental physics,