Evaluating driver-pedestrian interaction behavior in different environments via Markov-game-based inverse reinforcement learning
The rapid advances in the technology of Autonomous Vehicles (AVs) requires effective
collision avoidance systems that should be able to identify crash-risk situations and make …
collision avoidance systems that should be able to identify crash-risk situations and make …
Approximating Nash Equilibria for Uruguayan Truco: A Comparison of Monte Carlo and Machine Learning Approaches
Uruguayan Truco is a positive-sum and imperfect information card game with 2, 4 and 6
player variants. Finding the Nash equilibria of such games is very hard, so we approximate …
player variants. Finding the Nash equilibria of such games is very hard, so we approximate …
Towards a time-aware HMM for the Truco game
J Assunçao, GB Paulus - … Estendidos do XXI Simpósio Brasileiro de …, 2022 - sol.sbc.org.br
Similar to Poker, the game of Truco has challenges for Artificial intelligence. Considering a
large number of game states, a scenario characterized by partial visibility, stochastic …
large number of game states, a scenario characterized by partial visibility, stochastic …
[CITAZIONE][C] Aproximación de equilibrios de Nash en juegos de información imperfecta y suma positiva mediante métodos de Monte Carlo y aprendizaje automático
JP Filevich - 2023 - Udelar. FI