4 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 4 cited
MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Enxin Song, Wenhao Chai, Guanhong Wang +10
Recently, integrating video foundation models and large language models to build a video understanding system can overcome the limitations of specific pre-defined vision tasks. Yet…
cs.LG2023★ 4 cited
Inverse Reinforcement Learning with the Average Reward Criterion
Feiyang Wu, Jingyang Ke, Anqi Wu
We study the problem of Inverse Reinforcement Learning (IRL) with an average-reward criterion. The goal is to recover an unknown policy and a reward function when the agent only ha…
cs.LG2022★ 2 cited
Stochastic first-order methods for average-reward Markov decision processes
Tianjiao Li, Feiyang Wu, Guanghui Lan
We study average-reward Markov decision processes (AMDPs) and develop novel first-order methods with strong theoretical guarantees for both policy optimization and policy evaluatio…