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Alexander Amini
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Alexander Amini
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MIT 6.S191 (2020): Neurosymbolic AI
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MIT 6.S191 (2020): Neurosymbolic AI
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LiDAR-Based End-to-End Navigation | ICRA 2021
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MIT 6.S191 (2019): Recurrent Neural Networks
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MIT 6.S191 (2019): Recurrent Neural Networks
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MIT 6.S191 (2019): Deep Reinforcement Learning
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MIT 6.S191 (2019): Deep Reinforcement Learning
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MIT 6.S191: AI Bias and Fairness
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MIT 6.S191: AI Bias and Fairness
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MIT 6.S191 (2018): Introduction to Deep Learning
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MIT 6.S191 (2018): Introduction to Deep Learning
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MIT 6.S191 (2019): Convolutional Neural Networks
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MIT 6.S191 (2019): Convolutional Neural Networks
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MIT 6.S191 (2021): Recurrent Neural Networks
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MIT 6.S191 (2021): Recurrent Neural Networks
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MIT 6.S191 (2020): Deep Learning New Frontiers
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MIT 6.S191 (2020): Deep Learning New Frontiers
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MIT 6.S191: Reinforcement Learning
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MIT 6.S191: Reinforcement Learning
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MIT 6.S191 (2020): Reinforcement Learning
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MIT 6.S191 (2020): Reinforcement Learning
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MIT 6.S191 (2019): Introduction to Deep Learning
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MIT 6.S191 (2019): Introduction to Deep Learning
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MIT 6.S191 (2019): Deep Learning Limitations and New Frontiers
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MIT 6.S191 (2019): Deep Learning Limitations and New Frontiers
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GTC 2018: Learning Steering for Parallel Autonomy. Alexander Amini
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GTC 2018: Learning Steering for Parallel Autonomy. Alexander Amini
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Co-Learning of Task and Sensor Placement for Soft Robotics (Teaser)
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Co-Learning of Task and Sensor Placement for Soft Robotics (Teaser)
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MIT 6.S191 (2020): Convolutional Neural Networks
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MIT 6.S191 (2020): Convolutional Neural Networks
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MIT 6.S191 (2019): Deep Generative Modeling
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MIT 6.S191 (2019): Deep Generative Modeling
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MIT 6.S191 (2020): Recurrent Neural Networks
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MIT 6.S191 (2020): Recurrent Neural Networks
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MIT 6.S191 (2020): Machine Learning for Scent
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MIT 6.S191 (2020): Machine Learning for Scent
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