72 citations · 113 across the 5 of their papers we have counts for
3 papers · 1 filter
Latent-Predictive Empowerment: Measuring Empowerment without a Simulator
Andrew Levy, Alessandro Allievi, George Konidaris
Empowerment has the potential to help agents learn large skillsets, but is not yet a scalable solution for training general-purpose agents. Recent empowerment methods learn diverse…
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…
Learning Multi-Level Hierarchies with Hindsight
Andrew Levy, George Konidaris, Robert Platt +1
Hierarchical agents have the potential to solve sequential decision making tasks with greater sample efficiency than their non-hierarchical counterparts because hierarchical agents…