Search Results for author:
Found 11 papers, 2 papers with code
Multi-Bellman operator for convergence of $Q$-learning with linear function approximation
By exploring the properties of this operator, we identify conditions under which the projected multi-Bellman operator becomes contractive, providing improved fixed-point guarantees compared to the Bellman operator.
GAN-Based Content Generation of Maps for Strategy Games
Maps are a very important component of strategy games, and a time-consuming task if done by hand.
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning
We introduce hybrid execution in multi-agent reinforcement learning (MARL), a new paradigm in which agents aim to successfully complete cooperative tasks with arbitrary communication levels at execution time by taking advantage of information-sharing among the agents.
Multi-agent Reinforcement Learning
reinforcement-learning
+2
Emergent social NPC interactions in the Social NPCs Skyrim mod and beyond
This work presents an implementation of a social architecture model for authoring Non-Player Character (NPC) in open world games inspired in academic research on agentbased modeling.
Towards Explainable Social Agent Authoring tools: A case study on FAtiMA-Toolkit
In this paper we introduce the concept of Explainable Social Agent Authoring Tools with the goal of analysing if authoring tools for social agents are understandable and interpretable.
Semantic Norm Recognition and its application to Portuguese Law
Being able to clearly interpret legal texts and fully understanding our rights, obligations and other legal norms has become progressively more important in the digital society.
State of the Art in Artificial Intelligence applied to the Legal Domain
While Artificial Intelligence applied to the legal domain is a topic with origins in the last century, recent advances in Artificial Intelligence are posed to revolutionize it.
Limited depth bandit-based strategy for Monte Carlo planning in continuous action spaces
This paper addresses the problem of optimal control using search trees.
FAtiMA Toolkit -- Toward an effective and accessible tool for the development of intelligent virtual agents and social robots
More than a decade has passed since the development of FearNot!, an application designed to help children deal with bullying through role-playing with virtual characters.
Decision Making
Multiagent Systems
Human-Computer Interaction
Robotics
CHARET: Character-centered Approach to Emotion Tracking in Stories
Autonomous agents that can engage in social interactions witha human is the ultimate goal of a myriad of applications.
Equilibrium Propagation for Complete Directed Neural Networks
Artificial neural networks, one of the most successful approaches to supervised learning, were originally inspired by their biological counterparts.
