Edward Groshev

Publication Activity (10 Years)

Years Active: 2015-2020
Publications (10 Years): 8

Top Topics

Reinforcement Learning

Motion Planning

Cascade Correlation

Top Venues

AAAI Spring Symposia

Publications

Tom Jurgenson, Or Avner, Edward Groshev, Aviv Tamar
Sub-Goal Trees a Framework for Goal-Based Reinforcement Learning. ICML (2020)
Tom Jurgenson, Or Avner, Edward Groshev, Aviv Tamar
Sub-Goal Trees - a Framework for Goal-Based Reinforcement Learning. CoRR (2020)
Tom Jurgenson, Edward Groshev, Aviv Tamar
Sub-Goal Trees - a Framework for Goal-Directed Trajectory Prediction and Optimization. CoRR (2019)
Edward Groshev, Maxwell Goldstein, Aviv Tamar, Siddharth Srivastava, Pieter Abbeel
Learning Generalized Reactive Policies Using Deep Neural Networks. ICAPS (2018)
Edward Groshev, Aviv Tamar, Maxwell Goldstein, Siddharth Srivastava, Pieter Abbeel
Learning Generalized Reactive Policies using Deep Neural Networks. AAAI Spring Symposia (2018)
Edward Groshev, Aviv Tamar, Siddharth Srivastava, Pieter Abbeel
Learning Generalized Reactive Policies using Deep Neural Networks. CoRR (2017)
Rohan Chitnis, Dylan Hadfield-Menell, Abhishek Gupta, Siddharth Srivastava, Edward Groshev, Christopher Lin, Pieter Abbeel
Guided search for task and motion plans using learned heuristics. ICRA (2016)
Dylan Hadfield-Menell, Edward Groshev, Rohan Chitnis, Pieter Abbeel
Modular task and motion planning in belief space. IROS (2015)