Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: CS229 Final Report Reinforcement Learning to Play Mario
Evolving Intelligent Mario Controller by Reinforcement Learning
Markov Games as a Framework for Multi-Agent Reinforcement Learning
The Mario AI Championship 2009-2012
On Monte Carlo Tree Search and Reinforcement Learning
Applying Q ( λ )-learning in Deep Reinforcement Learning to Play Atari Games
Playing Atari with Deep Reinforcement Learning
Deep Reinforcement Learning of Video Games
A comparative evaluation of procedural level generators in the Mario AI framework
Active Reinforcement Learning with Monte-Carlo Tree Search
learning to play computer games with deep learning and reinforcement learning interim report .
Training Pac-Man bots using reinforcement learning and case-based reasoning
Value-function reinforcement learning in Markov games
State of the Art Control of Atari Games Using Shallow Reinforcement Learning
Model-Based Reinforcement Learning for Atari
The Mario AI Benchmark and Competitions
Fast Approximate Max-n Monte Carlo Tree Search for Ms Pac-Man
Evolving Behaviour Trees for the Mario AI Competition Using Grammatical Evolution
Deep Reinforcement Learning that Matters
Using Transfer Learning Between Games to Improve Deep Reinforcement Learning Performance
Deep Reinforcement Learning for 2048
Online Learning of a Memory for Learning Rates
Triaging Content Severity in Online Mental Health Forums
Intrusion Detection in Wireless Ad-Hoc Networks
Integrated Architectures for Learning, Planning, and Reacting Based on Approximating Dynamic Programming
A qualitative investigation of patients' and caregivers' experiences of severe sepsis*.