2 papers
cs.LG2020
Variational Model-based Policy Optimization
Yinlam Chow, Brandon Cui, MoonKyung Ryu +1
Model-based reinforcement learning (RL) algorithms allow us to combine model-generated data with those collected from interaction with the real system in order to alleviate the dat…
cs.LG2019
CAQL: Continuous Action Q-Learning
Moonkyung Ryu, Yinlam Chow, Ross Anderson +2
Value-based reinforcement learning (RL) methods like Q-learning have shown success in a variety of domains. One challenge in applying Q-learning to continuous-action RL problems, h…