6 citations · 6 across the 2 of their papers we have counts for
3 papers
cs.RO2020
ACDER: Augmented Curiosity-Driven Experience Replay
Boyao Li, Tao Lu, Jiayi Li +3
Exploration in environments with sparse feedback remains a challenging research problem in reinforcement learning (RL). When the RL agent explores the environment randomly, it resu…
math.NA2019
Tutorial: Complexity analysis of Singular Value Decomposition and its variants
Xiaocan Li, Shuo Wang, Yinghao Cai
We compared the regular Singular Value Decomposition (SVD), truncated SVD, Krylov method and Randomized PCA, in terms of time and space complexity. It is well-known that Krylov met…
cs.LG2019★ 6 cited
Hindsight Generative Adversarial Imitation Learning
Naijun Liu, Tao Lu, Yinghao Cai +2
Compared to reinforcement learning, imitation learning (IL) is a powerful paradigm for training agents to learn control policies efficiently from expert demonstrations. However, in…