Search Results for author: Ariyan Bighashdel

Found 3 papers, 1 papers with code

Policy Space Response Oracles: A Survey

no code implementations4 Mar 2024 Ariyan Bighashdel, Yongzhao Wang, Stephen Mcaleer, Rahul Savani, Frans A. Oliehoek

In game theory, a game refers to a model of interaction among rational decision-makers or players, making choices with the goal of achieving their individual objectives.

Position

Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning

no code implementations4 Apr 2023 Ariyan Bighashdel, Daan de Geus, Pavol Jancura, Gijs Dubbelman

Learning anticipation in Multi-Agent Reinforcement Learning (MARL) is a reasoning paradigm where agents anticipate the learning steps of other agents to improve cooperation among themselves.

Action Anticipation Multi-agent Reinforcement Learning +1

Deep Adaptive Multi-Intention Inverse Reinforcement Learning

1 code implementation14 Jul 2021 Ariyan Bighashdel, Panagiotis Meletis, Pavol Jancura, Gijs Dubbelman

This paper presents a deep Inverse Reinforcement Learning (IRL) framework that can learn an a priori unknown number of nonlinear reward functions from unlabeled experts' demonstrations.

reinforcement-learning Reinforcement Learning (RL)

Cannot find the paper you are looking for? You can Submit a new open access paper.