Search Results for author: Tsung-Yen Yang

Found 9 papers, 1 papers with code

Leveraging Language for Accelerated Learning of Tool Manipulation

no code implementations27 Jun 2022 Allen Z. Ren, Bharat Govil, Tsung-Yen Yang, Karthik Narasimhan, Anirudha Majumdar

Robust and generalized tool manipulation requires an understanding of the properties and affordances of different tools.

Meta-Learning

Safe Reinforcement Learning for Legged Locomotion

no code implementations5 Mar 2022 Tsung-Yen Yang, Tingnan Zhang, Linda Luu, Sehoon Ha, Jie Tan, Wenhao Yu

In this paper, we propose a safe reinforcement learning framework that switches between a safe recovery policy that prevents the robot from entering unsafe states, and a learner policy that is optimized to complete the task.

reinforcement-learning Reinforcement Learning (RL) +1

Projection-Based Constrained Policy Optimization

no code implementations ICLR 2020 Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge

We consider the problem of learning control policies that optimize a reward function while satisfying constraints due to considerations of safety, fairness, or other costs.

Fairness

Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies

no code implementations20 Jun 2020 Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge

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.

Fairness reinforcement-learning +2

Cannot find the paper you are looking for? You can Submit a new open access paper.