After six months of competition (and a few last-minute submissions), we are happy to announce the conclusion and winners of the Obstacle Tower Challenge. We want to thank all of the participants for both rounds and congratulate Alex Nichol, the Compscience.org We are also excited to share that we have open-sourced Obstacle Tower for the research community to extend for their own needs. We started this challenge in February as a way to help foster research in the AI community, by providing a challenging new benchmark of agent performance built in Unity, which we called Obstacle Tower. The Obstacle Tower was developed to be difficult for current machine learning algorithms to solve, and push the boundaries of what was possible in the field by focusing on procedural generation.
After six months of competition, Unity Technologies has named the top winners for the Obstacle Tower Challenge, a contest dedicated to making artificial intelligence for games. The winners are Alex Nichols, the Compscience.org And Unity, the maker of the Unity3D game engine, has also announced it has open-sourced Obstacle Tower for the research community to extend for their own needs. The challenge started in February as a way to help foster research in the AI community by providing a challenging new benchmark built in Unity. The benchmark, called Obstacle Tower, was developed to be difficult for current machine learning algorithms to solve.
Deep reinforcement learning is prone to overfitting, and traditional benchmarks such as Atari 2600 benchmark can exacerbate this problem. The Obstacle Tower Challenge addresses this by using randomized environments and separate seeds for training, validation, and test runs. This paper examines various improvements and best practices to the PPO algorithm using the Obstacle Tower Challenge to empirically study their impact with regards to generalization. Our experiments show that the combination provides state-of-the-art performance on the Obstacle Tower Challenge.
Video game developers have longed used artificial intelligence to help create believable worlds. So it's not too surprising that researchers can now use some of those same game-making tools to train AI. During a talk at VentureBeat's Transform 2019 conference last week, Unity Technologies VP of AI and machine learning Danny Lange argued that game engines are perfect for creating what he called "real" computer intelligence -- self-learning systems capable of producing complex behaviors after a short amount of time. With game engines (like the company's own Unity engine), you can simulate the rules of the real world and test intelligent agents against it. "If you think about [it], the game engine has three dimensions, time, physics … it has everything you need to play around with the core elements that led to [human] intelligence," said Lange.
For Muslims in the United States, there is no other time more centered around gathering in congregation than the holy month of Ramadan. In every corner of the country, believers attend community iftar meals to break the fast and then pack neatly into tight rows for nightly prayers at the mosque. On weekends, especially, some may linger longer as they catch up, share in the pre-dawn suhoor meal and line up again for the fajr, dawn, prayers.