159 citations · 329 across the 29 of their papers we have counts for
3 papers · 1 filter
Continuous Episodic Control
Zhao Yang, Thomas M. Moerland, Mike Preuss +1
Non-parametric episodic memory can be used to quickly latch onto high-rewarded experience in reinforcement learning tasks. In contrast to parametric deep reinforcement learning app…
When to Go, and When to Explore: The Benefit of Post-Exploration in Intrinsic Motivation
Zhao Yang, Thomas M. Moerland, Mike Preuss +1
Go-Explore achieved breakthrough performance on challenging reinforcement learning (RL) tasks with sparse rewards. The key insight of Go-Explore was that successful exploration req…
On Credit Assignment in Hierarchical Reinforcement Learning
Joery A. de Vries, Thomas M. Moerland, Aske Plaat
Hierarchical Reinforcement Learning (HRL) has held longstanding promise to advance reinforcement learning. Yet, it has remained a considerable challenge to develop practical algori…