83 citations · 181 across the 7 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.LG2019
Learning Efficient and Effective Exploration Policies with Counterfactual Meta Policy
Ruihan Yang, Qiwei Ye, Tie-Yan Liu
A fundamental issue in reinforcement learning algorithms is the balance between exploration of the environment and exploitation of information already obtained by the agent. Especi…
cs.LG2019★ 2 cited
Beyond Exponentially Discounted Sum: Automatic Learning of Return Function
Yufei Wang, Qiwei Ye, Tie-Yan Liu
In reinforcement learning, Return, which is the weighted accumulated future rewards, and Value, which is the expected return, serve as the objective that guides the learning of the…