activity
20152023
most citedDecentralized MCTS via Learned Teammate Models

13 citations · 23 across the 7 of their papers we have counts for

collaborators

10 papers

cs.AI2023★ 1 cited

Safe Multi-agent Learning via Trapping Regions

Aleksander Czechowski, Frans A. Oliehoek

One of the main challenges of multi-agent learning lies in establishing convergence of the algorithms, as, in general, a collection of individual, self-serving agents is not guaran…

cs.LG2022

RangL: A Reinforcement Learning Competition Platform

Viktor Zobernig, Richard A. Saldanha, Jinke He +12

The RangL project hosted by The Alan Turing Institute aims to encourage the wider uptake of reinforcement learning by supporting competitions relating to real-world dynamic decisio…

cs.GT2021

Poincaré-Bendixson Limit Sets in Multi-Agent Learning

Aleksander Czechowski, Georgios Piliouras

A key challenge of evolutionary game theory and multi-agent learning is to characterize the limit behavior of game dynamics. Whereas convergence is often a property of learning alg…

cs.AI2020★ 13 cited

Decentralized MCTS via Learned Teammate Models

Aleksander Czechowski, Frans A. Oliehoek

Decentralized online planning can be an attractive paradigm for cooperative multi-agent systems, due to improved scalability and robustness. A key difficulty of such approach lies…

cs.LG2019★ 3 cited

Influence-aware Memory Architectures for Deep Reinforcement Learning

Miguel Suau, Jinke He, Elena Congeduti +3

Due to its perceptual limitations, an agent may have too little information about the state of the environment to act optimally. In such cases, it is important to keep track of the…

math.DS2019

Rigorous numerics for a singular perturbation problem

Aleksander Czechowski

Fast-slow systems are notoriously difficult to analyze with rigorous numerics, since the qualitative properties of the solution space change fundamentally when the so-called small…

stat.ML2018

ICA based on Split Generalized Gaussian

P. Spurek, P. Rola, J. Tabor +1

Independent Component Analysis (ICA) - one of the basic tools in data analysis - aims to find a coordinate system in which the components of the data are independent. Most popular…

math.DS2016

Symplectomorphisms and discrete braid invariants

Aleksander Czechowski, Robert Vandervorst

Area and orientation preserving diffeomorphisms of the standard 2-disc, referred to as symplectomorphisms of , allow decompositions in terms of positive twist diffe…

math.AP2015

Rigorous numerics for PDEs with indefinite tail: existence of a periodic solution of the Boussinesq equation with time-dependent forcing

Aleksander Czechowski, Piotr Zgliczyński

We consider the Boussinesq PDE perturbed by a time-dependent forcing. Even though there is no smoothing effect for arbitrary smooth initial data, we are able to apply the method of…

math.DS2015★ 6 cited

Existence of periodic solutions of the FitzHugh-Nagumo equations for an explicit range of the small parameter

Aleksander Czechowski, Piotr Zgliczyński

The FitzHugh-Nagumo model describing propagation of nerve impulses in axon is given by fast-slow reaction-diffusion equations, with dependence on a parameter representing the r…