Differentiable Game Mechanics

Differentiable Game Mechanics

13 May 2019

Alistair Letcher

Jakob N. Foerster

Papers citing "Differentiable Game Mechanics"

16 / 16 papers shown

Title
Solving Infinite-Player Games with Player-to-Strategy Networks Carlos Martin T. Sandholm 54 0 0 17 Jan 2025
Neural Interactive Proofs Lewis Hammond Sam Adam-Day AAML 84 2 0 12 Dec 2024
Aligning Individual and Collective Objectives in Multi-Agent Cooperation Yang Li Wenhao Zhang Jianhong Wang Shao Zhang Yali Du Ying Wen Wei Pan 26 1 0 19 Feb 2024
Finding mixed-strategy equilibria of continuous-action games without gradients using randomized policy networks Carlos Martin T. Sandholm 26 11 0 29 Nov 2022
Adversarial Cheap Talk Chris Xiaoxuan Lu Timon Willi Alistair Letcher Jakob N. Foerster AAML 18 17 0 20 Nov 2022
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations N. Vadori Leo Ardon Sumitra Ganesh Thomas Spooner Selim Amrouni Jared Vann Mengda Xu Zeyu Zheng T. Balch Manuela Veloso 18 16 0 13 Oct 2022
Learning Neural Hamiltonian Dynamics: A Methodological Overview Zhijie Chen Mingquan Feng Junchi Yan H. Zha AI4CE 19 15 0 28 Feb 2022
Adversarial Representation Learning With Closed-Form Solvers Bashir Sadeghi Lan Wang Vishnu Naresh Boddeti 34 5 0 12 Sep 2021
Policy Gradient Methods Find the Nash Equilibrium in N-player General-sum Linear-quadratic Games B. Hambly Renyuan Xu Huining Yang 15 25 0 27 Jul 2021
Learning in Matrix Games can be Arbitrarily Complex Gabriel P. Andrade Rafael M. Frongillo Georgios Piliouras 15 31 0 05 Mar 2021
Equilibrium Learning in Combinatorial Auctions: Computing Approximate Bayesian Nash Equilibria via Pseudogradient Dynamics Stefan Heidekrüger P. Sutterer Nils Kohring Maximilian Fichtl M. Bichler 16 5 0 28 Jan 2021
Stochastic Hamiltonian Gradient Methods for Smooth Games Nicolas Loizou Hugo Berard Alexia Jolicoeur-Martineau Pascal Vincent Simon Lacoste-Julien Ioannis Mitliagkas 31 50 0 08 Jul 2020
On the Impossibility of Global Convergence in Multi-Loss Optimization Alistair Letcher 16 32 0 26 May 2020
Accelerating Smooth Games by Manipulating Spectral Shapes Waïss Azizian Damien Scieur Ioannis Mitliagkas Simon Lacoste-Julien Gauthier Gidel 33 48 0 02 Jan 2020
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kaipeng Zhang Zhuoran Yang Tamer Basar 43 1,180 0 24 Nov 2019
First-order Methods Almost Always Avoid Saddle Points J. Lee Ioannis Panageas Georgios Piliouras Max Simchowitz Michael I. Jordan Benjamin Recht ODL 93 82 0 20 Oct 2017