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Visak Kumar

2 accepted papers

2023

Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables

AISTATS 2023poster

One key challenge for multi-task Reinforcement learning (RL) in practice is the absence of task specifications. Robust RL has been applied to deal with task ambiguity but may result in over-conservative policies. To balance the worst-case (robustness) and average performance, we propose Group Distri…

Cited by 13SourcePDFScholar
2021

Joint Space Control via Deep Reinforcement Learning

IROS 2021poster

The dominant way to control a robot manipulator uses hand-crafted differential equations leveraging some form of inverse kinematics / dynamics. We propose a simple, versatile joint-level controller that dispenses with differential equations entirely. A deep neural network, trained via model-free rei…

Cited by 25SourceScholar