411 citations · 615 across the 21 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.LG2019★ 48 cited
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning
Rui Zhao, Xudong Sun, Volker Tresp
In Multi-Goal Reinforcement Learning, an agent learns to achieve multiple goals with a goal-conditioned policy. During learning, the agent first collects the trajectories into a re…
cs.LG2019★ 12 cited
Neural Networks for Modeling Source Code Edits
Rui Zhao, David Bieber, Kevin Swersky +1
Programming languages are emerging as a challenging and interesting domain for machine learning. A core task, which has received significant attention in recent years, is building…
cs.LG2019★ 40 cited
Curiosity-Driven Experience Prioritization via Density Estimation
Rui Zhao, Volker Tresp
In Reinforcement Learning (RL), an agent explores the environment and collects trajectories into the memory buffer for later learning. However, the collected trajectories can easil…