4 citations · 9 across the 5 of their papers we have counts for
4 papers · 1 filter
Assisted Perception: Optimizing Observations to Communicate State
Siddharth Reddy, Sergey Levine, Anca D. Dragan
We aim to help users estimate the state of the world in tasks like robotic teleoperation and navigation with visual impairments, where users may have systematic biases that lead to…
SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards
Siddharth Reddy, Anca D. Dragan, Sergey Levine
Learning to imitate expert behavior from demonstrations can be challenging, especially in environments with high-dimensional, continuous observations and unknown dynamics. Supervis…
Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior
Siddharth Reddy, Anca D. Dragan, Sergey Levine
Inferring intent from observed behavior has been studied extensively within the frameworks of Bayesian inverse planning and inverse reinforcement learning. These methods infer a go…
Latent Skill Embedding for Personalized Lesson Sequence Recommendation
Siddharth Reddy, Igor Labutov, Thorsten Joachims
Students in online courses generate large amounts of data that can be used to personalize the learning process and improve quality of education. In this paper, we present the Laten…