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Adversarial Inverse Optimal Control for General Imitation Learning Losses and Embodiment Transfer.

, , , and . UAI, AUAI Press, (2016)

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Multi-Agent Tensor Fusion for Contextual Trajectory Prediction., , , , , , , and . CVPR, page 12126-12134. Computer Vision Foundation / IEEE, (2019)Intent Prediction and Trajectory Forecasting via Predictive Inverse Linear-Quadratic Regulation., , and . AAAI, page 3672-3678. AAAI Press, (2015)Softstar: Heuristic-Guided Probabilistic Inference., , , , and . NIPS, page 2764-2772. (2015)Moments in Time Dataset: one million videos for event understanding., , , , , , , , , and 1 other author(s). CoRR, (2018)Robust Covariate Shift Regression., , , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 1270-1279. JMLR.org, (2016)Asynchronous Data Aggregation for Training End to End Visual Control Networks., , , and . AAMAS, page 530-537. ACM, (2017)Adversarial Inverse Optimal Control for General Imitation Learning Losses and Embodiment Transfer., , , and . UAI, AUAI Press, (2016)Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding., , , , , , , , , and . CoRR, (2019)End to End Learning for Self-Driving Cars., , , , , , , , , and 3 other author(s). CoRR, (2016)Reasoning About Human-Object Interactions Through Dual Attention Networks., , , , , and . CoRR, (2019)