game ai

"Reinforcement Learning is an algorithm in which a program learns how it should act by observing its surrounding environment, and in the case of Tic-Tac-Toe, it learns which move to make by observing the games being played."

"I used it for coding and translation. I like that I can proceed with work in parallel, and it really helps that I can continuously make small modifications."

"Rather than relying purely on traditional AI systems, Arc Raiders blends learned locomotion with behavior trees, creating a layered approach where movement itself becomes part of the intelligence."

"First, we redesign the Tetris game board and tetrominoes using bitboard representations, leveraging bitwise operations to accelerate core processes (e.g., collision detection, line clearing, and Dellacherie-Thiery Features extraction) and achieve a 53-fold speedup compared to OpenAI Gym-Tetris."

"Games aren’t one-dimensional, often requiring a vast range of skills, including spatial reasoning, long-term planning, trial-and-error learning, and even social intuition."

"AlphaStar's essence is the optimization problem of 'when and where to direct limited attention resources,' which is isomorphic to the fundamental challenge of human decision-makers exposed to information overload."

"The goal is to implement a game's rules as a gym environment and train the AI."

"I very much look forward to AI bringing many new, from-zero-to-one game types this year."

"Vendors at the event pitched generative AI tools for things like making AI-driven NPCs and even entire games from a chat box."

"In this article, we will implement the bitboard transposition process, which is another necessary process to reverse the x and y coordinates."

"LLMUnity is a framework for running local LLMs within Unity."

"Experiments on a 10×10 Amazons board show that our hybrid approach not only achieves a 15%--56% improvement in decision accuracy over baselines but also significantly outperforms its teacher model (GPT-4o-mini), achieving a competitive win rate of 45.0% at N=30 nodes and a decisive 66.5% at only N=50"

"The article continues the introduction of the algorithm for bit reversal processing."

"Specifically, the aim was to create an AI that generates actions from the context of the battle situation."

"Using local LLMs, you can create many interesting games!"

"What I wanted was a workflow where the AI would take over everything from build to test."

"The article explains a method of counting the number of 1s in a bit string."

"The ultimate goal for me here is to build an agent that can play Pokemon Red, ideally beat it!"

"This is a collection of articles from Qiita demonstrating the construction of an AI that takes gameplay footage (video) as input, estimates the game state, and proposes the next action."

"N/A (Content mainly based on external link)"

"Starting tabula rasa without human data and trained for 5 months with modest compute resources (7 GPUs), QZero achieved a performance level comparable to that of AlphaGo."

"The research is based on lessons learned from Civilization V."

"The study utilizes a BERT supervised-trained model."

"Beating Pokemon Red with RL and <10M Parameters"