20 citations · 45 across the 9 of their papers we have counts for
4 papers · 1 filter
Learning to Compose Skills
Himanshu Sahni, Saurabh Kumar, Farhan Tejani +1
We present a differentiable framework capable of learning a wide variety of compositions of simple policies that we call skills. By recursively composing skills with themselves, we…
Transferring Agent Behaviors from Videos via Motion GANs
Ashley D. Edwards, Charles L. Isbell
A major bottleneck for developing general reinforcement learning agents is determining rewards that will yield desirable behaviors under various circumstances. We introduce a gener…
State Space Decomposition and Subgoal Creation for Transfer in Deep Reinforcement Learning
Himanshu Sahni, Saurabh Kumar, Farhan Tejani +2
Typical reinforcement learning (RL) agents learn to complete tasks specified by reward functions tailored to their domain. As such, the policies they learn do not generalize even t…
MotifMark: Finding Regulatory Motifs in DNA Sequences
Hamid Reza Hassanzadeh, Pushkar Kolhe, Charles L. Isbell +1
The interaction between proteins and DNA is a key driving force in a significant number of biological processes such as transcriptional regulation, repair, recombination, splicing,…