Smooth markets: A basic mechanism for organizing gradient-based learners

14 January 2020

Papers citing "Smooth markets: A basic mechanism for organizing gradient-based learners"

6 / 6 papers shown

Title
Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment Michael Chang Sid Kaushik Sergey Levine Thomas Griffiths 31 8 0 28 Jun 2021
Learning in Matrix Games can be Arbitrarily Complex Gabriel P. Andrade Rafael Frongillo Georgios Piliouras 20 31 0 05 Mar 2021
Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory Stefanos Leonardos Georgios Piliouras 31 40 0 05 Dec 2020
Learning to Play No-Press Diplomacy with Best Response Policy Iteration Thomas W. Anthony Tom Eccles Andrea Tacchetti János Kramár I. Gemp ... Richard Everett Roman Werpachowski Satinder Singh T. Graepel Yoram Bachrach 24 42 0 08 Jun 2020
On the Impossibility of Global Convergence in Multi-Loss Optimization Alistair Letcher 34 32 0 26 May 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 312 3,115 0 04 Nov 2016