3 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.LG2020★ 3 cited
Provably Efficient Model-based Policy Adaptation
Yuda Song, Aditi Mavalankar, Wen Sun +1
The high sample complexity of reinforcement learning challenges its use in practice. A promising approach is to quickly adapt pre-trained policies to new environments. Existing met…
cs.LG2020★ 2 cited
Goal-conditioned Batch Reinforcement Learning for Rotation Invariant Locomotion
Aditi Mavalankar
We propose a novel approach to learn goal-conditioned policies for locomotion in a batch RL setting. The batch data is collected by a policy that is not goal-conditioned. For the l…
cs.LG2019
Hotel Recommendation System
Aditi A. Mavalankar, Ajitesh Gupta, Chetan Gandotra +1
One of the first things to do while planning a trip is to book a good place to stay. Booking a hotel online can be an overwhelming task with thousands of hotels to choose from, for…