A concise review of intelligent game agent
H Li, X Pang, B Sun, K Liu - Entertainment Computing, 2024 - Elsevier
Intelligent game agents are crafted using AI technologies to mimic player behavior and
make decisions autonomously. Over the past decades, the scope of intelligent agents has …
make decisions autonomously. Over the past decades, the scope of intelligent agents has …
Generating real-time strategy game units using search-based procedural content generation and monte carlo tree search
K Sorochan, M Guzdial - arXiv preprint arXiv:2212.03387, 2022 - arxiv.org
Real-Time Strategy (RTS) game unit generation is an unexplored area of Procedural
Content Generation (PCG) research, which leaves the question of how to automatically …
Content Generation (PCG) research, which leaves the question of how to automatically …
Action abstractions for combinatorial multi-armed bandit tree search
Search algorithms based on combinatorial multi-armed bandits (CMABs) are promising for
dealing with state-space sequential decision problems. However, current CMAB-based …
dealing with state-space sequential decision problems. However, current CMAB-based …
Full douzero+: Improving doudizhu ai by opponent modeling, coach-guided training and bidding learning
With the development of deep reinforcement learning (DRL), much progress in various
perfect and imperfect information games has been achieved. Among these games …
perfect and imperfect information games has been achieved. Among these games …
Evolving action abstractions for real-time planning in extensive-form games
A key challenge for planning systems in real-time multiagent domains is to search in large
action spaces to decide an agent's next action. Previous works showed that handcrafted …
action spaces to decide an agent's next action. Previous works showed that handcrafted …
Searching for Programmatic Policies in Semantic Spaces
Syntax-guided synthesis is commonly used to generate programs encoding policies. In this
approach, the set of programs, that can be written in a domain-specific language defines the …
approach, the set of programs, that can be written in a domain-specific language defines the …
Danzero: Mastering guandan game with reinforcement learning
The use of artificial intelligence (AI) in card games has been a widely researched topic in the
field of AI for an extended period. Recent advancements have led to AI programs exhibiting …
field of AI for an extended period. Recent advancements have led to AI programs exhibiting …
Danzero+: Dominating the guandan game through reinforcement learning
Recent advancements have propelled artificial intelligence (AI) to showcase expertise in
intricate card games, such as Mahjong, DouDizhu, and Texas Hold'em. In this work, we aim …
intricate card games, such as Mahjong, DouDizhu, and Texas Hold'em. In this work, we aim …
Nested-greedy search for adversarial real-time games
Churchill and Buro (2013) launched a line of research through Portfolio Greedy Search
(PGS), an algorithm for adversarial real-time planning that uses scripts to simplify the …
(PGS), an algorithm for adversarial real-time planning that uses scripts to simplify the …
Evolving action pre-selection parameters for MCTS in real-time strategy games
Abstract Real-Time Strategy (RTS) games are well-known for their substantially large
combinatorial decision and state spaces, responsible for creating significant challenges for …
combinatorial decision and state spaces, responsible for creating significant challenges for …