7 citations · 21 across the 6 of their papers we have counts for
3 papers · 1 filter
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…