Running Deeper C++/C/Java

Week 42 Report Main Content: 2D Rough image & 3D Modeling ▶ Overall :: Blind Mage :: Skeletal Dragon 3D :: Death Warrior ▶ Blind Mage▶ Skeletal Dragon▶ Death Warrior ▶ ML-AGENTS vectorAction[0] > Horizontal vectorAction[1] > Vertical vectorAction[2] > Attack vectorAction[3]~[5] > Skill 1~3 used(Active State) vectorAction[6] > Ally search(Unit) vectorAction[7] > Ally Search(Building) moveH = vect..

Week 41 Report Main Content: Unit Machine Learning & 2D Imaging ▶ Overall :: Machine learning and Unit status update :: Cursed Archer rough image ▶ Machine Learning Unable to train both Brain units at the same time in Unity, thus had to observe the units carefully separately. Below are the behaviors. - Waiting State - Movement State: Walk - Movement State: Run - Attack - Defend - Dodge - Magic/M..

Week 40 Report Main Content: 3D Modeling 2U & ML Results ▶ Overall :: Griffin 3D Modeling :: Evil Lord 3D 모델링 :: ML Results ▶ Griffin ▶ Evil Lord ▶ ML Agents For the AI of the units and ML-AGENTS, we created each of the following AIs: Movement Speed, Attack Strength, HP.Each of the above was successful, but multiple units caused instability in the algorithm and failed. We were also unable to int..

Week 39 ReportMain Content: 3D Modeling *2 ▶ Overall :: Vampire :: Golem(3D / Rough Image) :: ML-AGENTS ▶ Vampire ▶ Golem ▶ Machine Learning Results :: 1D coordinate tracking: Success :: 2D coordinate tracking: Fail :: 1D Unit * Unit: Fail :: Multi unit battle: in development ML-AGENTS has no presentable result finished.

Week 38 Report Main Content: 3D Modeling & Cartoon Rendering / ML progress ▶ Skeletal Dragon ▶ Moon Breaker ▶ Cartoon Rendering - Using shaders, we lifted the atmosphere of the game to look more cartoonish. ▶ ML Agents - This is an RTS genre game, but since the game itself is mobile, it was often criticized to have only minimal control. Thus, we decided to reward skill by increasing the AI diffi..

Week 37 ReportMain Content: Unit interactions based on ML ▶ Overall :: Unity machine learning ML-Agent :: Per Unit Machine Learning ▶ Unity Machine Learning ML-AGENT ● Agent, Unit, Brain - A brain controls the actions of the Agent, and the agents are individual units. - Brain Type > External A python external program hosts the model, and the brain assigns scores based on the damage dealt, time t..

Week 36 ReportMain Content: 3D Modeling & Skill System ▶ Overall :: 3D Modeling :: Skill System ▶ 3D Modeling ▶ Griffin Nest A tree with griffins nesting on it ▶ Building queue design ▶ The red/gray objects are the buildings in the deck, and the red object is the building to be placed. At a cost of certain amounts of resources, you can skip the building. It is possible to affect the chances of e..

Week 35 Report Main Content: Character action connections & model animations and further system design ▶ Overall :: Character action connections :: Skill system ▶ Character Actions The above image is a transition model for the animations in-game. The graph is directed, and both edges need to be connected in order to create an interacting loop.The states are as follows: Idle, Walk, Run, Attack, D..

Week 34 Report Overall: 3D Modeling / System / Closed Beta ▶ Main Content :: Well 3D Modeling :: System design :: Closed Beta ▶ Well ▶ System Design Used a sphere collider based N:M controlling option to detect, advance, and calculate units. This method decreases the total calculations necessary. The algorithm is as follows. 1. When a unit is created, an increasing sphere collider is deployed, w..

A detailed design document for a speech recognition based subway helper app in South Korea. 애플리케이션 기획안 기획 및 개발 목적 시각 장애인 들의 대중교통 이용의 접근성이 너무 떨어져서 지하철, 버스의 사용이 너무 불편하여 사용이 적습니다. 이를 위한 앱들이 많이 있지만, 앱들은 시각장애인들의 능동적인 행동보다는 다른 사람들의 도움 (콜택시, 도우미, 예약버스 등등) 을 받아서 이용하게 설계되어 사용률을 높이지 못하고 있습니다. 그래서 음성 베이스로 시각장애인 분들이 능동적으로 사용이 가능한 지하철 앱을 구현하였습니다. 기술 요약 본 애플리케이션은 Android 플랫폼을 대상으로 하고, Kotlin 언어를 이용합니다. (Java ..

Week 33 Report Overall: Closed Beta Preparations and UI Image/Unit merging ▶ Overall :: UI Image (1/5) finished :: Unit selection & Skill designation ▶ UI Mainstage finished ▶ Background: ▶ The above image is treated as the background, and each UI image is split into minimal pieces, and reassembled inside the app. Thus, phones with different displays can handle the app without cr..

Week 32 ReportMain Content: 3D Modeling and Animation ▶ Overall :: Earthquaker 3D animation :: Gargoyle 3D animation :: Archer 3D Modeling ▶ Earthquaker▶ Gargoyle▶ Animation ▶ Archer

Week 31 ReportMain Content: 3D Modeling and UI Rough Image ▶ Overall :: Knight 3D Modeling :: Warrior 3D Modeling :: Game Main UI Rough Image ▶ Knight ▶ Warrior ▶ Game Main UI

Week 30 ReportMain Content: Rough Imaging + 3D Modeling & UI Development Status ▶ Overall :: Forge Rough Image & 3D Modeling :: Tower revised rough image :: UI Development Status ▶ Forge ▶ Tower ▶ UI Development 1) Stage page - Main page, created with the map image, etc. The 4 buttons on the bottom are skills that are almost upgradeable, top 4. Can use cash/game money to upgrade such skills. 2) ..

Lasers and Mirrors 시간 제한메모리 제한제출정답맞은 사람정답 비율 2 초 512 MB 140 52 45 38.462% 문제 For some reason, Farmer John's cows always seem to be running laser light shows. For their latest show, the cows have procured a large powerful laser -- so large, in fact, that they cannot seem to move it easily from the location where it was delivered. They would like to somehow send the light from the laser to the bar..