Monte Carlo tree search: A review of recent modifications and applications
Abstract Monte Carlo Tree Search (MCTS) is a powerful approach to designing game-
playing bots or solving sequential decision problems. The method relies on intelligent tree …
playing bots or solving sequential decision problems. The method relies on intelligent tree …
General video game ai: A multitrack framework for evaluating agents, games, and content generation algorithms
General video game playing aims at designing an agent that is capable of playing multiple
video games with no human intervention. In 2014, the General Video Game Artificial …
video games with no human intervention. In 2014, the General Video Game Artificial …
An introduction to deep reinforcement learning
Deep reinforcement learning is the combination of reinforcement learning (RL) and deep
learning. This field of research has been able to solve a wide range of complex …
learning. This field of research has been able to solve a wide range of complex …
Starcraft ii: A new challenge for reinforcement learning
This paper introduces SC2LE (StarCraft II Learning Environment), a reinforcement learning
environment based on the StarCraft II game. This domain poses a new grand challenge for …
environment based on the StarCraft II game. This domain poses a new grand challenge for …
[图书][B] Artificial intelligence and games
GN Yannakakis, J Togelius - 2018 - Springer
Georgios N. Yannakakis Julian Togelius Page 1 Artificial Intelligence and Games Georgios N.
Yannakakis Julian Togelius Page 2 Artificial Intelligence and Games Page 3 Georgios N …
Yannakakis Julian Togelius Page 2 Artificial Intelligence and Games Page 3 Georgios N …
Human-level control through deep reinforcement learning
The theory of reinforcement learning provides a normative account, deeply rooted in
psychological and neuroscientific perspectives on animal behaviour, of how agents may …
psychological and neuroscientific perspectives on animal behaviour, of how agents may …
[PDF][PDF] The Malmo Platform for Artificial Intelligence Experimentation.
Abstract We present Project Malmo–an AI experimentation platform built on top of the
popular computer game Minecraft, and designed to support fundamental research in …
popular computer game Minecraft, and designed to support fundamental research in …
General video game ai: Competition, challenges and opportunities
Abstract The General Video Game AI framework and competition pose the problem of
creating artificial intelligence that can play a wide, and in principle unlimited, range of …
creating artificial intelligence that can play a wide, and in principle unlimited, range of …
Deep reinforcement learning for general video game ai
RR Torrado, P Bontrager, J Togelius… - … IEEE Conference on …, 2018 - ieeexplore.ieee.org
The General Video Game AI (GVGAI) competition and its associated software framework
provides a way of benchmarking AI algorithms on a large number of games written in a …
provides a way of benchmarking AI algorithms on a large number of games written in a …
Bootstrapping conditional gans for video game level generation
Generative Adversarial Networks (GANs) have shown impressive results for image
generation. However, GANs face challenges in generating contents with certain types of …
generation. However, GANs face challenges in generating contents with certain types of …