12 citations · 12 across the 4 of their papers we have counts for
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cs.LG2022
Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning
Junjie Wang, Yao Mu, Dong Li +6
The latent world model provides a promising way to learn policies in a compact latent space for tasks with high-dimensional observations, however, its generalization across diverse…
cs.LG2021
Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning
Junjie Wang, Qichao Zhang, Dongbin Zhao
The development of autonomous driving has attracted extensive attention in recent years, and it is essential to evaluate the performance of autonomous driving. However, testing on…
cs.LG2020
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning
Junjie Wang, Qichao Zhang, Dongbin Zhao +2
Existing model-based value expansion methods typically leverage a world model for value estimation with a fixed rollout horizon to assist policy learning. However, the fixed rollou…