- MS PAC-MAN VERSUS GHOST TEAM CEC 2011 Competition
- Planning using online evolutionary overfitting Spyridon Samothrakis and Simon M. Lucas, Senior Member, IEEE
- Making Racing Fun Through Player Modeling and Track Evolution
- Temporal Difference Learning Versus Co-Evolution for Acquiring Othello Position Evaluation
- Fast Convolutional OCR with the Scanning N-Tuple Grid Simon M. Lucas1
- Exploiting Reflection in Object Oriented Genetic Programming
- JOURNAL OF COMPUTATIONAL INTELLIGENCE AND AI IN GAMES, VOL. ?, NO. ?, SUBMITTED OCTOBER 2010 1 Fast Approximate Max-n Monte-Carlo Tree Search
- Computational Intelligence and AI in Games: A New IEEE Transactions
- Forcing neurocontrollers to exploit sensory symmetry through hard-wired modularity in the game of Cellz
- Learning to Play Othello with N-Tuple Systems
- A Simple Tree Search Method for Playing Ms. Pac-Man David Robles and Simon M. Lucas, Senior Member, IEEE
- Investigating Learning Rates for Evolution and Temporal Difference Learning
- IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION: SPECIAL ISSUE ON EVOLUTIONARY COMPUTATION AND GAMES, VOL. X, NO. XX, MONTH 2005 1 Co-evolution versus Self-play Temporal Difference
- Sequence Recognition with Scanning N-Tuple Ensembles Simon M. Lucas
- Cellz: A simple dynamical game for testing evolutionary algorithms
- Learning DFA: Evolution versus Evidence Driven State Merging Simon M. Lucas and T. Jeff Reynolds
- Robust Word Recognition for Museum Archive Card Indexing S. M. Lucas
- Learning Deterministic Finite Automata with a Smart State Labeling Evolutionary Algorithm
- Fast Lexicon-Based Word Recognition in Noisy Index Card Images
- ICDAR 2005 Text Locating Competition Results Simon M. Lucas
- Evolving a Neural Network Location Evaluator to Play Ms. Pac-Man Simon M. Lucas
- Evolving robust and specialized car racing skills Julian Togelius
- Evolving spring-mass models: a test-bed for graph encoding schemes Simon Lucas
- Evolving Controllers for Simulated Car Racing Julian Togelius and Simon M. Lucas
- Evolving Finite State Transducers: Some Initial Explorations
- Learning Finite State Transducers: Evolution Versus Heuristic State Merging
- Arms races and car races Julian Togelius and Simon M. Lucas
- Web-Based Deployment of Text Locating Algorithms Simon M. Lucas and Carlos R. Jaimez Gonzalez
- Evolution versus Temporal Difference Learning for Learning to Play Ms. Pac-Man
- Evolving Diverse Ms. Pac-Man Playing Agents Using Genetic Programming
- Abstract--Temporal difference learning (TDL) is perhaps the most widely used reinforcement learning
- Discriminative Training of the Scanning N-Tuple Classifier
- Abstract--Evolutionary algorithms have been used successfully in car racing game competitions, such as the ones
- IEEE TRANSACTIONS ON COMPUTATIONAL INTELLIGENCE AND AI IN GAMES, VOL. 4, NO. 1, MARCH 2012 1 A Survey of Monte Carlo Tree Search Methods
- Approximating n-player Behavioural Strategy Nash Equilibria Using Coevolution
- Learning Non-Random Moves for Playing Othello: Improving Monte Carlo Tree Search
- Using a Training Camp with Genetic Programming to Evolve Ms Pac-Man Agents
