11/20/2023 0 Comments Sources timi honor kings duty mobileWill Yang, General Manager of Tencent AI Lab, explains that games provide an optimal R&D environment with clear goals and indicators that are easier to test and iterate. The more complex the environment, the smarter the AI can be trained. By encountering a scenario thousands of times, the agent was able to calculate the winning percentage of various options and finally choose the optimal solution. Suddenly things got better.” Chen had designed AI agents to learn through countless reiterations. ![]() “We thought a lot about what points might lead to mistakes, and made adjustments little by little to the algorithm. “It’s a grinding, slow and boring process that was frustrating at first,” says Chen, adding that then something clicked. ![]() Sometimes, there were only minor improvements after days of training, or worse, the model would suddenly collapse, and the team had to start again. This makes it the ideal environment for AI research and development.ĭuring this period, the team from Tsinghua was languishing in the rankings, as others pulled ahead. Īs a 5V5 multiplayer online battle game (MOBA) game, Honor of Kings is highly complex and challenging and requires extensive collaborations among players. In 2016, AlphaGo played Go against the legendary Lee Sedol, winner of 18 world titles, and won a 4-1 victory.įast-forward six years, the focus of game AI research has shifted from board games to more complex, non-perfect information games and strategic video games. One of the most famous examples is AlphaGo, a computer program developed by Google’s subsidiary DeepMind Technologies. In the past, board games like chess and Go were testbeds of deep RL algorithms. The technology behind is the RL, a type of machine learning paradigm where developers reward behaviors they wish the AI to manifest and the program trains or learns itself by performing the necessary actions to achieve the desired behavior or outcome. ![]() Like human players, computer game agents are becoming more intelligent as they experience new behaviors and process the appropriate sequence of actions. Their victory came after spending five months processing the source code and exploring the architecture to compete against 19 teams from top Chinese universities. “In the beginning, we couldn’t even set up the game environment, let alone train the AI agent to play games,” team member Chen Huayu said, adding that his fellow team members were already keen players of HOK. The winning team, composed of five students from Tsinghua University, said the theoretical capabilities of the RL model were not as easy as imagined when put into practice. The second AI Arena Multi-agent Reinforcement Learning Competition in China, which ended in April, saw vibrant groups of student developers who built reinforcement learning (RL)-based AI algorithms that can be used to play the HOK autonomously. While being one of the most popular mobile games of all time, what is lesser-known is that Honor of Kings is often used as an ideal testbed for AI research in the games industry. The official trailer for the new Honor of Kings (HOK) has recently been released, creating a lot of buzz among its global fans who are waiting for the game's release at the end of this year.ĭeveloped by Tencent Games’ TiMi Studio Group, the mobile game has been among the most popular multiplayer online battle arena (MOBA) games since 2015.
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