26 citations · 26 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 26 cited
Bridging the Gap between Chemical Reaction Pretraining and Conditional Molecule Generation with a Unified Model
Bo Qiang, Yiran Zhou, Yuheng Ding +5
Chemical reactions are the fundamental building blocks of drug design and organic chemistry research. In recent years, there has been a growing need for a large-scale deep-learning…
cs.LG2022
Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots
Wei Hung, Bo-Kai Huang, Ping-Chun Hsieh +1
Many real-world continuous control problems are in the dilemma of weighing the pros and cons, multi-objective reinforcement learning (MORL) serves as a generic framework of learnin…
cs.AI2020
EasyRL: A Simple and Extensible Reinforcement Learning Framework
Neil Hulbert, Sam Spillers, Brandon Francis +7
In recent years, Reinforcement Learning (RL), has become a popular field of study as well as a tool for enterprises working on cutting-edge artificial intelligence research. To thi…