8 citations · 8 across the 4 of their papers we have counts for
4 papers · 1 filter
CALF: Communication-Aware Learning Framework for Distributed Reinforcement Learning
Carlos Purves, Pietro Lio'
Distributed reinforcement learning policies face network delays, jitter, and packet loss when deployed across edge devices and cloud servers. Standard RL training assumes zero-late…
Tiny, On-Device Decision Makers with the MiniConv Library
Carlos Purves
Reinforcement learning (RL) has achieved strong results, but deploying visual policies on resource-constrained edge devices remains challenging due to computational cost and commun…
Goal-Conditioned Reinforcement Learning in the Presence of an Adversary
Carlos Purves, Pietro Liò, Cătălina Cangea
Reinforcement learning has seen increasing applications in real-world contexts over the past few years. However, physical environments are often imperfect and policies that perform…
The PlayStation Reinforcement Learning Environment (PSXLE)
Carlos Purves, Cătălina Cangea, Petar Veličković
We propose a new benchmark environment for evaluating Reinforcement Learning (RL) algorithms: the PlayStation Learning Environment (PSXLE), a PlayStation emulator modified to expos…