Causal Transfer for Imitation Learning and Decision Making under Sensor-shift
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[1] Elias Bareinboim,et al. Transfer Learning in Multi-Armed Bandit: A Causal Approach , 2017, AAMAS.
[2] Ales Ude,et al. Programming full-body movements for humanoid robots by observation , 2004, Robotics Auton. Syst..
[3] Lutz Eckstein,et al. The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems , 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).
[4] Stefan Schaal,et al. Is imitation learning the route to humanoid robots? , 1999, Trends in Cognitive Sciences.
[5] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[6] Anind K. Dey,et al. Maximum Entropy Inverse Reinforcement Learning , 2008, AAAI.
[7] Dean Pomerleau,et al. Efficient Training of Artificial Neural Networks for Autonomous Navigation , 1991, Neural Computation.
[8] Elias Bareinboim,et al. Generalizability in Causal Inference: Theory and Algorithms , 2014 .
[9] Stefan Schaal,et al. Robot Learning From Demonstration , 1997, ICML.
[10] Yann LeCun,et al. Off-Road Obstacle Avoidance through End-to-End Learning , 2005, NIPS.
[11] Tom Burr,et al. Causation, Prediction, and Search , 2003, Technometrics.
[12] Brett Browning,et al. A survey of robot learning from demonstration , 2009, Robotics Auton. Syst..
[13] Stefano Ermon,et al. Generative Adversarial Imitation Learning , 2016, NIPS.
[14] Masayoshi Tomizuka,et al. INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps , 2019, ArXiv.
[15] Elias Bareinboim,et al. Bandits with Unobserved Confounders: A Causal Approach , 2015, NIPS.
[16] Andrew Y. Ng,et al. Pharmacokinetics of a novel formulation of ivermectin after administration to goats , 2000, ICML.
[17] Judea Pearl,et al. Counterfactual Probabilities: Computational Methods, Bounds and Applications , 1994, UAI.
[18] Joris M. Mooij,et al. Causal Transfer Learning , 2017, ArXiv.
[19] Katja Hofmann,et al. Experimental and causal view on information integration in autonomous agents , 2016, ArXiv.
[20] Joris M. Mooij,et al. Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions , 2017, NeurIPS.
[21] Bernhard Schölkopf,et al. Elements of Causal Inference: Foundations and Learning Algorithms , 2017 .
[22] Kee-Eung Kim,et al. A Bayesian Approach to Generative Adversarial Imitation Learning , 2018, NeurIPS.
[23] Sergey Levine,et al. Causal Confusion in Imitation Learning , 2019, NeurIPS.
[24] P. Spirtes,et al. Causation, prediction, and search , 1993 .
[25] Elias Bareinboim,et al. Counterfactual Data-Fusion for Online Reinforcement Learners , 2017, ICML.