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cs.LG2024
Beyond the Boundaries of Proximal Policy Optimization
Charlie B. Tan, Edan Toledo, Benjamin Ellis +2
Proximal policy optimization (PPO) is a widely-used algorithm for on-policy reinforcement learning. This work offers an alternative perspective of PPO, in which it is decomposed in…
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…