1 citations · 1 across the 5 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.LG2026
Monotone Optimisation with Learned Projections
Ahmed Rashwan, Keith Briggs, Chris Budd +1
Monotone optimisation problems admit specialised global solvers such as the Polyblock Outer Approximation (POA) algorithm, but these methods typically require explicit objective an…
cs.LG2026
Factored Value Functions for Graph-Based Multi-Agent Reinforcement Learning
Ahmed Rashwan, Keith Briggs, Chris Budd +1
Credit assignment is a core challenge in multi-agent reinforcement learning (MARL), especially in large-scale systems with structured, local interactions. Graph-based Markov decisi…