35 citations · 243 across the 61 of their papers we have counts for
4 papers · 1 filter
Derivative-Free & Order-Robust Optimisation
Victor Gabillon, Rasul Tutunov, Michal Valko +1
In this paper, we formalise order-robust optimisation as an instance of online learning minimising simple regret, and propose Vroom, a zero'th order optimisation algorithm capable…
Multi-View Reinforcement Learning
Minne Li, Lisheng Wu, Haitham Bou Ammar +1
This paper is concerned with multi-view reinforcement learning (MVRL), which allows for decision making when agents share common dynamics but adhere to different observation models…
-Rank: Practically Scaling -Rank through Stochastic Optimisation
Yaodong Yang, Rasul Tutunov, Phu Sakulwongtana +1
Recently, -Rank, a graph-based algorithm, has been proposed as a solution to ranking joint policy profiles in large scale multi-agent systems. -Rank claimed tractability thro…
Wasserstein Robust Reinforcement Learning
Mohammed Amin Abdullah, Hang Ren, Haitham Bou Ammar +4
Reinforcement learning algorithms, though successful, tend to over-fit to training environments hampering their application to the real-world. This paper proposes $\text{W}\text{R}…