TY - JOUR
T1 - Crafting a Pogo Stick in Minecraft with Heuristic Search (Extended Abstract)
AU - Benyamin, Yarin
AU - Mordoch, Argaman
AU - Shperberg, Shahaf
AU - Piotrowski, Wiktor
AU - Stern, Roni
N1 - Publisher Copyright:
© 2024, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - Minecraft is a widely popular video game renowned for its intricate environment. The game's open-ended design allows the creation of unique tasks and challenges for the agents, providing a broad spectrum for researchers to experiment with different AI techniques and applications. Indeed, various Minecraft tasks have been posed as an AI challenge. Most AI research on Minecraft focused on either applying Reinforcement Learning (RL) to solve the problem, learning an action model for planning, or modeling the problem for a domain-independent planner. In this work, we focus on the combinatorial search aspect of solving the Craft Wooden Pogo task within the Polycraft World AI Lab (PAL) Minecraft environment. PAL is an interface to Minecraft that provides an API for AI agents to interact with Minecraft's environment and send commands to the main character. PAL supports symbolic observations of the current state, making it ideal for planning algorithms, which require a symbolic model of the environment for problem-solving. Other Minecraft research frameworks such as MineRL, provide a visual, pixel-based representation of the game.
AB - Minecraft is a widely popular video game renowned for its intricate environment. The game's open-ended design allows the creation of unique tasks and challenges for the agents, providing a broad spectrum for researchers to experiment with different AI techniques and applications. Indeed, various Minecraft tasks have been posed as an AI challenge. Most AI research on Minecraft focused on either applying Reinforcement Learning (RL) to solve the problem, learning an action model for planning, or modeling the problem for a domain-independent planner. In this work, we focus on the combinatorial search aspect of solving the Craft Wooden Pogo task within the Polycraft World AI Lab (PAL) Minecraft environment. PAL is an interface to Minecraft that provides an API for AI agents to interact with Minecraft's environment and send commands to the main character. PAL supports symbolic observations of the current state, making it ideal for planning algorithms, which require a symbolic model of the environment for problem-solving. Other Minecraft research frameworks such as MineRL, provide a visual, pixel-based representation of the game.
UR - http://www.scopus.com/inward/record.url?scp=85196620773&partnerID=8YFLogxK
U2 - 10.1609/socs.v17i1.31571
DO - 10.1609/socs.v17i1.31571
M3 - Conference article
AN - SCOPUS:85196620773
SN - 2832-9171
VL - 17
SP - 261
EP - 262
JO - The International Symposium on Combinatorial Search
JF - The International Symposium on Combinatorial Search
IS - 1
T2 - 17th International Symposium on Combinatorial Search, SoCS 2024
Y2 - 6 June 2024 through 8 June 2024
ER -