papers
Publications (10)
cs.LG2018
Automatic Goal Generation for Reinforcement Learning Agents
Carlos Florensa, David Held, Xinyang Geng +1
cs.CV2016
Learning to Track at 100 FPS with Deep Regression Networks
David Held, Sebastian Thrun, Silvio Savarese
cs.RO2019
Adaptive Variance for Changing Sparse-Reward Environments
Xingyu Lin, Pengsheng Guo, Carlos Florensa +1
cs.CV2019
Few-Shot Point Cloud Region Annotation with Human in the Loop
Siddhant Jain, Sowmya Munukutla, David Held
cs.AI2018
Reverse Curriculum Generation for Reinforcement Learning
Carlos Florensa, David Held, Markus Wulfmeier +2
cs.RO2019
Reinforcement Learning without Ground-Truth State
Xingyu Lin, Harjatin Singh Baweja, David Held
cs.RO2017
Probabilistically Safe Policy Transfer
David Held, Zoe McCarthy, Michael Zhang +2
cs.RO2018
Enabling Robots to Communicate their Objectives
Sandy H. Huang, David Held, Pieter Abbeel +1
cs.LG2017
Constrained Policy Optimization
Joshua Achiam, David Held, Aviv Tamar +1
cs.CV2015
Deep Learning for Single-View Instance Recognition
David Held, Sebastian Thrun, Silvio Savarese