University of Washington5; ImprobableAI Lab, Massachusetts Institute of Technology1; Aalto University4; MIT-IBM Lab3; RAIL Lab, UC Berkeley2
Zhang-Wei Hong, Aviral Kumar, Sathwik Karnik, Abhishek Bhandwaldar, Akash Srivastava, Joni Pajarinen, Romain Laroche, Abhishek Gupta, Pulkit Agrawal
offline reinforcement learning;reinforcement learning;sampling;experience replay
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets