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Frontmatter
1. Computer Games Workshop 2016
NeuroHex: A Deep Q-learning Hex Agent
Deep or Wide? Learning Policy and Value Neural Networks for Combinatorial Games
Integrating Factorization Ranked Features in MCTS: An Experimental Study
Nested Rollout Policy Adaptation with Selective Policies
A Rollout-Based Search Algorithm Unifying MCTS and Alpha-Beta
Learning from the Memory of Atari 2600
Clustering-Based Online Player Modeling
AI Wolf Contest — Development of Game AI Using Collective Intelligence —
Semantic Classification of Utterances in a Language-Driven Game
2. General Intelligence in Game-Playing Agents 2016
Optimizing Propositional Networks
Grounding GDL Game Descriptions
A General Approach of Game Description Decomposition for General Game Playing
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