Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Evolving Adaptive LSTM Poker Players for Effective Opponent Exploitation
algorithms for evolving no - limit texas hold ' em poker playing agents .
Knowledge acquisition for adaptive game AI
Deep Reinforcement Learning for Long Term Strategy Games
Coevolution of a Backgammon Player
Adaptive Artificial Intelligence in Games: Issues, Requirements, and a Solution through Behavlets-based General Player Modelling
Evolving neural networks to focus minimax search
Monte-Carlo Tree Search for Simulation-based Play Strategy Analysis
Recent Advances in General Game Playing
Evolving neural networks to play checkers without relying on expert knowledge
A reinforcement learning scheme for a multi-agent card game
Hierarchical adversarial search applied to Real-Time Strategy games
FML-based Prediction Agent and Its Application to Game of Go
Co-Evolution in the Successful Learning of Backgammon Strategy
An exploration strategy for non-stationary opponents
Application of Monte-Carlo tree search in a fighting game AI
Keeping up with the jammers: Observe-and-adapt algorithms for studying mutually adaptive opponents
Artificial Intelligence for Adaptive Computer Games
Deep Pepper: Expert Iteration based Chess agent in the Reinforcement Learning Setting
A Neuroevolution Approach to General Atari Game Playing
Opponent Modeling in Deep Reinforcement Learning
Implementing the right to child protection: a challenge for developing countries
Mobile Cloud Gaming: Issues and Challenges
Incremental Semantic Construction Using Normal Form CCG Derivation
IAM-OnDB - an on-line English sentence database acquired from handwritten text on a whiteboard
Throughput and delay analysis of IEEE 802.11 protocol