Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Neuroevolution in Games: State of the Art and Open Challenges
A Neuroevolution Approach to General Atari Game Playing
Evolving Neural Network Agents in the NERO Video Game
improving adaptive game ai with evolutionary learning .
Applying ESP and Region Specialists to Neuro-Evolution for Go
deep neuroevolution : genetic algorithms .
Evolutionary Game Design
The N-Tuple bandit evolutionary algorithm for automatic game improvement
Neuroevolution with Analog Genetic Encoding
Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari
Evolutionary Search in the Space of Rules for Creation of New Two-Player Board Games
On the genetic evolution of a perfect Tic-tac-toe strategy
Solving Non-Markovian Control Tasks with Neuro-Evolution
Recent Advances in General Game Playing
An Evolutionary Dynamical Analysis of Multi-Agent Learning in Iterated Games
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning
Knowledge-based fast evolutionary MCTS for general video game playing
Evidence Combination From an Evolutionary Game Theory Perspective
Evolutionary Behavior Tree Approaches for Navigating Platform Games
Intrinsically Motivated Reinforcement Learning: An Evolutionary Perspective
Complexity-based speciation and genotype representation for neuroevolution
A dataset and baselines for sequential open-domain question answering
CRISPR Provides Acquired Resistance Against Viruses in Prokaryotes
Multi-vehicle Flocking Control with Deep Deterministic Policy Gradient Method
Neuroevolution: from architectures to learning
A Parallel Approach to the Variational Transfer of Discrete Fields between Arbitrarily Distributed Unstructured Finite Element Meshes