102 citations · 188 across the 8 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.AI2022
Multi-agent Actor-Critic with Time Dynamical Opponent Model
Yuan Tian, Klaus-Rudolf Kladny, Qin Wang +2
In multi-agent reinforcement learning, multiple agents learn simultaneously while interacting with a common environment and each other. Since the agents adapt their policies during…
cs.CV2022★ 5 cited
Continual Test-Time Domain Adaptation
Qin Wang, Olga Fink, Luc Van Gool +1
Test-time domain adaptation aims to adapt a source pre-trained model to a target domain without using any source data. Existing works mainly consider the case where the target doma…