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Finding Counterfactually Optimal Action Sequences in Continuous State
  Spaces

Finding Counterfactually Optimal Action Sequences in Continuous State Spaces

6 June 2023
Stratis Tsirtsis
Manuel Gomez Rodriguez
    CML
    OffRL
ArXivPDFHTML

Papers citing "Finding Counterfactually Optimal Action Sequences in Continuous State Spaces"

10 / 10 papers shown
Title
Learning Counterfactual Outcomes Under Rank Preservation
Peng Wu
Haoxuan Li
Chunyuan Zheng
Yan Zeng
Jiawei Chen
Yang Liu
Ruocheng Guo
K. Zhang
59
0
0
10 Feb 2025
Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making
Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making
Stelios Triantafyllou
A. Sukovic
Yasaman Zolfimoselo
Goran Radanović
CML
23
0
0
16 Oct 2024
Perfect Counterfactuals in Imperfect Worlds: Modelling Noisy
  Implementation of Actions in Sequential Algorithmic Recourse
Perfect Counterfactuals in Imperfect Worlds: Modelling Noisy Implementation of Actions in Sequential Algorithmic Recourse
Yueqing Xuan
Kacper Sokol
Mark Sanderson
Jeffrey Chan
22
1
0
03 Oct 2024
Semifactual Explanations for Reinforcement Learning
Semifactual Explanations for Reinforcement Learning
Jasmina Gajcin
Jovan Jeromela
Ivana Dusparic
OffRL
23
0
0
09 Sep 2024
Counterfactual Influence in Markov Decision Processes
Counterfactual Influence in Markov Decision Processes
M. Kazemi
Jessica Lally
Ekaterina Tishchenko
Hana Chockler
Nicola Paoletti
11
0
0
13 Feb 2024
ACTER: Diverse and Actionable Counterfactual Sequences for Explaining
  and Diagnosing RL Policies
ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL Policies
Jasmina Gajcin
Ivana Dusparic
CML
OffRL
20
2
0
09 Feb 2024
Invariant Causal Imitation Learning for Generalizable Policies
Invariant Causal Imitation Learning for Generalizable Policies
Ioana Bica
Daniel Jarrett
Mihaela van der Schaar
CML
OffRL
OOD
55
32
0
02 Nov 2023
Agent-Specific Effects: A Causal Effect Propagation Analysis in
  Multi-Agent MDPs
Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs
Stelios Triantafyllou
A. Sukovic
Debmalya Mandal
Goran Radanović
9
0
0
17 Oct 2023
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery
Chris Cundy
Aditya Grover
Stefano Ermon
CML
32
71
0
06 Dec 2021
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
143
1,599
0
02 Feb 2020
1