1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.AI2021★ 1 cited
HAC Explore: Accelerating Exploration with Hierarchical Reinforcement Learning
Willie McClinton, Andrew Levy, George Konidaris
Sparse rewards and long time horizons remain challenging for reinforcement learning algorithms. Exploration bonuses can help in sparse reward settings by encouraging agents to expl…
cs.LG2018
Hierarchical Reinforcement Learning with Hindsight
Andrew Levy, Robert Platt, Kate Saenko
Reinforcement Learning (RL) algorithms can suffer from poor sample efficiency when rewards are delayed and sparse. We introduce a solution that enables agents to learn temporally e…