7 citations · 21 across the 6 of their papers we have counts for
6 papers
Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach
Rajeev Sahay, Serena Nicoll, Minjun Zhang +4
We consider the problem of predicting link formation in Social Learning Networks (SLN), a type of social network that forms when people learn from one another through structured in…
Leveraging Language for Accelerated Learning of Tool Manipulation
Allen Z. Ren, Bharat Govil, Tsung-Yen Yang +2
Robust and generalized tool manipulation requires an understanding of the properties and affordances of different tools. We investigate whether linguistic information about a tool…
Safe Reinforcement Learning for Legged Locomotion
Tsung-Yen Yang, Tingnan Zhang, Linda Luu +3
Designing control policies for legged locomotion is complex due to the under-actuated and non-continuous robot dynamics. Model-free reinforcement learning provides promising tools…
Safe Reinforcement Learning with Natural Language Constraints
Tsung-Yen Yang, Michael Hu, Yinlam Chow +2
While safe reinforcement learning (RL) holds great promise for many practical applications like robotics or autonomous cars, current approaches require specifying constraints in ma…
Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies
Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan +1
We consider the problem of reinforcement learning when provided with (1) a baseline control policy and (2) a set of constraints that the learner must satisfy. The baseline policy c…
Robust and Interpretable Grounding of Spatial References with Relation Networks
Tsung-Yen Yang, Andrew S. Lan, Karthik Narasimhan
Learning representations of spatial references in natural language is a key challenge in tasks like autonomous navigation and robotic manipulation. Recent work has investigated var…