4 citations · 6 across the 4 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.AI2022★ 1 cited
RAPid-Learn: A Framework for Learning to Recover for Handling Novelties in Open-World Environments
Shivam Goel, Yash Shukla, Vasanth Sarathy +2
We propose RAPid-Learn: Learning to Recover and Plan Again, a hybrid planning and learning method, to tackle the problem of adapting to sudden and unexpected changes in an agent's…
cs.RO2022★ 4 cited
ACuTE: Automatic Curriculum Transfer from Simple to Complex Environments
Yash Shukla, Christopher Thierauf, Ramtin Hosseini +2
Despite recent advances in Reinforcement Learning (RL), many problems, especially real-world tasks, remain prohibitively expensive to learn. To address this issue, several lines of…