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Found 7 papers, 2 papers with code
Domain Engineering for Applied Monocular Reconstruction of Parametric Faces
The paper proposes a novel approach to the so-called Face-to-Parameters problem (F2P for short), aiming to reconstruct a parametric face from a single image.
Applied monocular reconstruction of parametric faces with domain engineering
The paper proposes a novel approach to the so-called Face-to-Parameters problem (F2P for short), aiming to reconstruct a parametric face from a single image.
Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
The interpretability of the learned skills show the promise of the proposed method for achieving human-AI cooperation in team sports games.
On Multi-Agent Learning in Team Sports Games
In recent years, reinforcement learning has been successful in solving video games from Atari to Star Craft II.
Towards Interactive Training of Non-Player Characters in Video Games
We propose to create such NPC behaviors interactively by training an agent in the target environment using imitation learning with a human in the loop.
Winning Isn't Everything: Enhancing Game Development with Intelligent Agents
We discuss two fundamental metrics based on which we measure the human-likeness of agents, namely skill and style, which are multi-faceted concepts with practical implications outlined in this paper.
Exploring Gameplay With AI Agents
The process of playtesting a game is subjective, expensive and incomplete.
