← Search

Aditya Murali

2 accepted papers

2021

"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer

CoRL 2021poster

Modern Reinforcement Learning (RL) algorithms are not sample efficient to train on multi-step tasks in complex domains, impeding their wider deployment in the real world. We address this problem by leveraging the insight that RL models trained to complete one set of tasks can be repurposed to comple…

Cited by 13SourceScholar
2021

Guiding Multi-Step Rearrangement Tasks with Natural Language Instructions

CoRL 2021poster

Enabling human operators to interact with robotic agents using natural language would allow non-experts to intuitively instruct these agents. Towards this goal, we propose a novel Transformer-based model which enables a user to guide a robot arm through a 3D multi-step manipulation task with natural…

Cited by 31SourcecodeScholar