4 papers
Unified Pedestrian Path Prediction Using Inverse Reinforcement Learning
Šimon Sukup, Ariyan Bighashdel, Pavol Jancura
Pedestrian path prediction is crucial for enhancing the safety of autonomous vehicles and advanced driver-assistance systems. Previous studies explored different learning-task form…
Sample-Efficient Policy Space Response Oracles with Joint Experience Best Response
Ariyan Bighashdel, Thiago D. Simão, Frans A. Oliehoek
Multi-agent reinforcement learning (MARL) offers a scalable alternative to exact game-theoretic analysis but suffers from non-stationarity and the need to maintain diverse populati…
TeNet: Text-to-Network for Compact Policy Synthesis
Ariyan Bighashdel, Kevin Sebastian Luck
Robots that follow natural-language instructions often either plan at a high level using hand-designed interfaces or rely on large end-to-end models that are difficult to deploy fo…
Policy Space Response Oracles: A Survey
Ariyan Bighashdel, Yongzhao Wang, Stephen McAleer +2
Game theory provides a mathematical way to study the interaction between multiple decision makers. However, classical game-theoretic analysis is limited in scalability due to the l…