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We propose Feasible Action-Space Reduction (FeAR) as a metric for causal responsibility in multi-agent spatial interactions with continuous actions.

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continuous FeAR

Quantifying Causal Responsibility in Continuous Spatial Interactions via Feasible Action Space Reduction

Github repository for :

"Quantifying Causal Responsibility in Continuous Spatial Interactions via Feasible Action Space Reduction" by Ashwin George, Luciano Cavalcante Siebert, David A. Abbink and Arkady Zgonnikov. https://arxiv.org/abs/2505.17739

We propose Feasible Action-Space Reduction (FeAR) as a metric for causal responsibility in multi-agent spatial interactions with continuous actions.


The code in this repository is based on the code for our earlier publication which can be found at: https://github.com/DAI-Lab-HERALD/FeAR


Trajectory plots


cFeAR: 8 agents at intersection


Contents

To view the results for the case studies in the paper

  • Download the .pkl files for results from: https://osf.io/8mtnf/ and place them in \FeAR_Results\.
  • Run cFeAR_Paper_Read_and_Plot_Results.ipynb to generate plots.

To run simulations

  • Run ContinuousFeAR_Sims_Scenario.ipynb
  • Run ContinuousFeAR_Sims_MdR_Confusion.ipynb to run simulations with different joint actions as MdRs
  • These use scenarios defined in Scenarios4cFeAR.json

To generate other illustrations in the paper

  • Run Illustrations.ipynb

Supplementary Files and Data

Authors

  • Ashwin George - PhD student @ TU Delft

Funding and support

  • TU Delft AI Initiative

Reference

Copyright notice

Technische Universiteit Delft hereby disclaims all copyright interest in the program “FeAR” (Feasible Action-Space Reduction) written by Ashwin George. Fred van Keulen, Dean of Mechanical Engineering

© 2025, Ashwin George, HERALD Lab, TU Delft

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We propose Feasible Action-Space Reduction (FeAR) as a metric for causal responsibility in multi-agent spatial interactions with continuous actions.

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