activity
20172023
most citedStarCraft II: A New Challenge for Reinforcement Learning

682 citations · 690 across the 8 of their papers we have counts for

collaborators

9 papers

cs.DC2023

Eating sandwiches: Modular and lightweight elimination of transaction reordering attacks

Orestis Alpos, Ignacio Amores-Sesar, Christian Cachin +1

Traditional blockchains grant the miner of a block full control not only over which transactions but also their order. This constitutes a major flaw discovered with the introductio…

cs.GT2023

Lightning Creation Games

Zeta Avarikioti, Tomasz Lizurej, Tomasz Michalak +1

Payment channel networks (PCNs) are a promising solution to the scalability problem of cryptocurrencies. Any two users connected by a payment channel in the network can theoretical…

cs.LG2022

Cross-client Label Propagation for Transductive and Semi-Supervised Federated Learning

Jonathan Scott, Michelle Yeo, Christoph H. Lampert

We present Cross-Client Label Propagation(XCLP), a new method for transductive federated learning. XCLP estimates a data graph jointly from the data of multiple clients and compute…

cs.DS2022★ 1 cited

Online Admission Control and Rebalancing in Payment Channel Networks

Mahsa Bastankhah, Krishnendu Chatterjee, Mohammad Ali Maddah-Ali +3

Payment channel networks (PCNs) are a promising technology to improve the scalability of cryptocurrencies. PCNs, however, face the challenge that the frequent usage of certain rout…

cs.CR2022★ 1 cited

Wiser: Increasing Throughput in Payment Channel Networks with Transaction Aggregation

Samarth Tiwari, Michelle Yeo, Zeta Avarikioti +3

Payment channel networks (PCNs) are one of the most prominent solutions to the limited transaction throughput of blockchains. Nevertheless, PCNs suffer themselves from a throughput…

cs.DS2022★ 1 cited

Weighted Packet Selection for Rechargeable Links: Complexity and Approximation

Stefan Schmid, Jakub Svoboda, Michelle Yeo

We consider a natural problem dealing with weighted packet selection across a rechargeable link, which e.g., finds applications in cryptocurrency networks. The capacity of a link $…

cs.CR2021★ 4 cited

HIDE & SEEK: Privacy-Preserving Rebalancing on Payment Channel Networks

Zeta Avarikioti, Krzysztof Pietrzak, Iosif Salem +3

Payment channels effectively move the transaction load off-chain thereby successfully addressing the inherent scalability problem most cryptocurrencies face. A major drawback of pa…

cs.NI2021★ 1 cited

LightPIR: Privacy-Preserving Route Discovery for Payment Channel Networks

Krzysztof Pietrzak, Iosif Salem, Stefan Schmid +1

Payment channel networks are a promising approach to improve the scalability of cryptocurrencies: they allow to perform transactions in a peer-to-peer fashion, along multi-hop rout…

cs.LG2017★ 682 cited

StarCraft II: A New Challenge for Reinforcement Learning

Oriol Vinyals, Timo Ewalds, Sergey Bartunov +22

This paper introduces SC2LE (StarCraft II Learning Environment), a reinforcement learning environment based on the StarCraft II game. This domain poses a new grand challenge for re…