3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.AI2024
SPO: Sequential Monte Carlo Policy Optimisation
Matthew V Macfarlane, Edan Toledo, Donal Byrne +2
Leveraging planning during learning and decision-making is central to the long-term development of intelligent agents. Recent works have successfully combined tree-based search met…
cs.LG2023★ 3 cited
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX
Clément Bonnet, Daniel Luo, Donal Byrne +21
Open-source reinforcement learning (RL) environments have played a crucial role in driving progress in the development of AI algorithms. In modern RL research, there is a need for…