55 citations · 99 across the 8 of their papers we have counts for
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cs.AI2017★ 20 cited
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…
cs.AI2017★ 2 cited
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…