Abhishek Gupta

According to our database1, Abhishek Gupta authored at least 28 papers between 2015 and 2019.

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Bibliography

2019
Guided Meta-Policy Search.
CoRR, 2019

Domain Randomization for Active Pose Estimation.
CoRR, 2019

2018
Soft Actor-Critic Algorithms and Applications.
CoRR, 2018

Guiding Policies with Language via Meta-Learning.
CoRR, 2018

Learning Actionable Representations with Goal-Conditioned Policies.
CoRR, 2018

Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost.
CoRR, 2018

Automatically Composing Representation Transformations as a Means for Generalization.
CoRR, 2018

Unsupervised Meta-Learning for Reinforcement Learning.
CoRR, 2018

Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings.
CoRR, 2018

Meta-Reinforcement Learning of Structured Exploration Strategies.
CoRR, 2018

Diversity is All You Need: Learning Skills without a Reward Function.
CoRR, 2018

Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations.
Proceedings of the Robotics: Science and Systems XIV, 2018

Meta-Reinforcement Learning of Structured Exploration Strategies.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations.
CoRR, 2017

Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation.
CoRR, 2017

Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning.
CoRR, 2017

Learning modular neural network policies for multi-task and multi-robot transfer.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
Learning Dexterous Manipulation Policies from Experience and Imitation.
CoRR, 2016

Learning Dexterous Manipulation for a Soft Robotic Hand from Human Demonstration.
CoRR, 2016

Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer.
CoRR, 2016

Learning dexterous manipulation for a soft robotic hand from human demonstrations.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Guided search for task and motion plans using learned heuristics.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015
Learning from multiple demonstrations using trajectory-aware non-rigid registration with applications to deformable object manipulation.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Learning force-based manipulation of deformable objects from multiple demonstrations.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Tractability of Planning with Loops.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015


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