Aug 14, 2021 · Through transforming the matchmaking problem into a sequential decision problem, we solve it with the help of an effective policy-based deep reinforcement learning algorithm . Quantitative experiments on simulation and online game environments demonstrate the effectiveness of the presented framework. Aug 14, 2021 · Through transforming the matchmaking problem into a sequential decision problem, we solve it with the help of an effective policy-based deep reinforcement learning algorithm . Quantitative experiments on simulation and online game environments demonstrate the effectiveness of the presented framework. Sep 25, 2022 · An Analysis of Skill-Based Matchmaking and the Elo Rating System in Video Games Many online video games utilize matching algorithms to decide which players are teamed with and against one another. Whether it is a sports game or a multi-player shooter, game developers rely on these algorithms to make each game as fair as possible for the user. Sep 25, 2022 · An Analysis of Skill-Based Matchmaking and the Elo Rating System in Video Games Many online video games utilize matching algorithms to decide which players are teamed with and against one another. Whether it is a sports game or a multi-player shooter, game developers rely on these algorithms to make each game as fair as possible for the user. Matchmaking algorithms become even more layered in competitive modes. In ranked games , players care more about outcomes. Losses feel heavier, and the expectation of fairness is higher. Developers add additional protections — hidden MMRs, decay systems, and smurf detection — to maintain balance. Here are some of the challenges developers face: Matchmaking algorithms become even more layered in competitive modes. In ranked games , players care more about outcomes. Losses feel heavier, and the expectation of fairness is higher.
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