Edward Groshev

According to our database, Edward Groshev authored at least 6 papers between 2015 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Sub-Goal Trees a Framework for Goal-Based Reinforcement Learning.

Tom Jurgenson, Or Avner, Edward Groshev, Aviv Tamar

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Sub-Goal Trees - a Framework for Goal-Directed Trajectory Prediction and Optimization.

Tom Jurgenson, Edward Groshev, Aviv Tamar

CoRR, 2019

2018

Learning Generalized Reactive Policies using Deep Neural Networks.

Edward Groshev, Aviv Tamar, Maxwell Goldstein, Siddharth Srivastava, Pieter Abbeel

Proceedings of the 2018 AAAI Spring Symposia, 2018

2017

Learning Generalized Reactive Policies using Deep Neural Networks.

Edward Groshev, Aviv Tamar, Siddharth Srivastava, Pieter Abbeel

CoRR, 2017

2016

Guided search for task and motion plans using learned heuristics.

Rohan Chitnis, Dylan Hadfield-Menell, Abhishek Gupta, Siddharth Srivastava, Edward Groshev, Christopher Lin, Pieter Abbeel

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015

Modular task and motion planning in belief space.

Dylan Hadfield-Menell, Edward Groshev, Rohan Chitnis, Pieter Abbeel

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015