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 …
A systematic literature review of the successors of “neuroevolution of augmenting topologies”
E Papavasileiou, J Cornelis… - Evolutionary …, 2021 - ieeexplore.ieee.org
NeuroEvolution (NE) refers to a family of methods for optimizing Artificial Neural Networks
(ANNs) using Evolutionary Computation (EC) algorithms. NeuroEvolution of Augmenting …
(ANNs) using Evolutionary Computation (EC) algorithms. NeuroEvolution of Augmenting …
[PDF][PDF] Deep Learning: A Critical Appraisal
G Marcus - arXiv preprint arXiv:1801.00631, 2018 - indexinvestorportfolios.com
Although deep learning has historical roots going back decades, neither the term" deep
learning" nor the approach was popular just over five years ago, when the field was …
learning" nor the approach was popular just over five years ago, when the field was …
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
The game of chess is the longest-studied domain in the history of artificial intelligence. The
strongest programs are based on a combination of sophisticated search techniques, domain …
strongest programs are based on a combination of sophisticated search techniques, domain …
[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 …
OpenSpiel: A framework for reinforcement learning in games
OpenSpiel is a collection of environments and algorithms for research in general
reinforcement learning and search/planning in games. OpenSpiel supports n-player (single …
reinforcement learning and search/planning in games. OpenSpiel supports n-player (single …
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 …
Textworld: A learning environment for text-based games
We introduce TextWorld, a sandbox learning environment for the training and evaluation of
RL agents on text-based games. TextWorld is a Python library that handles interactive play …
RL agents on text-based games. TextWorld is a Python library that handles interactive play …
Thinking fast and slow with deep learning and tree search
Sequential decision making problems, such as structured prediction, robotic control, and
game playing, require a combination of planning policies and generalisation of those plans …
game playing, require a combination of planning policies and generalisation of those plans …
The arcade learning environment: An evaluation platform for general agents
MG Bellemare, Y Naddaf, J Veness… - Journal of Artificial …, 2013 - jair.org
In this article we introduce the Arcade Learning Environment (ALE): both a challenge
problem and a platform and methodology for evaluating the development of general, domain …
problem and a platform and methodology for evaluating the development of general, domain …