This video covers the action of the 2018 League of Legends World Championship and previews the 2019 event. Riot Games, publishers of "League of Legends," is looking to expand its lore. For starters, there are some new features coming to the super-popular online video game, which turns 10 this month. Beyond that, Riot Games announced Tuesday it is working on several other projects including new shooter and strategy games, as well as a trio of new video games set in the "League of Legends" universe. The game publisher announced these developments as part of its 10th anniversary livestream Tuesday night.
If you are a gaming enthusiast, have you thought about creating your video games? It's easier than you might think when you have the 2022 Complete Game Developer Bundle on your side, which happens to be on sale for only $29. It offers ten courses with hands-on lessons that will teach you how to create fully-fledged games using the popular Unity, Unreal and Godot game engines. All of the courses are provided by Zenva Academy, one of the leading platforms in the e-learning marketplace. It offers world-class training on the most in-demand tech skills, such as game development, virtual reality, machine learning and more.
As previously announced, April's lineup of free PlayStation games is anchored around Drawn to Death, the third-person shooter from God of War and Twisted Metal director David Jaffe. The multiplayer title has players competing in combat against each other in heavily stylized levels that draw from pulp and comic book inspirations. Elsewhere, April's free PlayStation 4 games includes the indie puzzler-shooter hybrid Lovers in a Dangerous Spacetime. Originally released in 2015, the quirky title has you and up to four players controlling a ship that that has to navigate through various worlds. In addition to defending the ship from enemies, players have to move from one room to another within the ship to ensure that it runs smoothly.
In current state-of-the-art commercial first person shooter games, computer controlled bots, also known as non player characters, can often be easily distinguishable from those controlled by humans. Tell-tale signs such as failed navigation, "sixth sense" knowledge of human players' whereabouts and deterministic, scripted behaviors are some of the causes of this. We propose, however, that one of the biggest indicators of non humanlike behavior in these games can be found in the weapon shooting capability of the bot. Consistently perfect accuracy and "locking on" to opponents in their visual field from any distance are indicative capabilities of bots that are not found in human players. Traditionally, the bot is handicapped in some way with either a timed reaction delay or a random perturbation to its aim, which doesn't adapt or improve its technique over time. We hypothesize that enabling the bot to learn the skill of shooting through trial and error, in the same way a human player learns, will lead to greater variation in game-play and produce less predictable non player characters. This paper describes a reinforcement learning shooting mechanism for adapting shooting over time based on a dynamic reward signal from the amount of damage caused to opponents.