Results 1 to 10 of about 13,466,899 (339)
RLJWe investigate the challenge of multi-agent deep reinforcement learning in partially competitive environments, where traditional methods struggle to foster reciprocity-based cooperation. LOLA and POLA agents learn reciprocity-based cooperative policies by differentiation through a few look-ahead optimization steps of their opponent. However, there is a
Milad Aghajohari +4 more
semanticscholar +4 more sources
Dynamic Analysis of Discontinuous Best Response with Innovation [PDF]
Journal of Economic Dynamics and Control, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fabio Lamantia +2 more
semanticscholar +8 more sources
Best-response dynamics, playing sequences, and convergence to equilibrium in random games. [PDF]
Int J Game Theory, 2023 We analyze the performance of the best-response dynamic across all normal-form games using a random games approach. The playing sequence—the order in which players update their actions—is essentially irrelevant in determining whether the dynamic ...
Heinrich T +6 more
europepmc +3 more sources
The Frequency of Convergent Games under Best-Response Dynamics. [PDF]
Dyn Games Appl, 2022 We calculate the frequency of games with a unique pure strategy Nash equilibrium in the ensemble of n -player, m -strategy normal-form games. To obtain the ensemble, we generate payoff matrices at random.
Wiese SC, Heinrich T.
europepmc +3 more sources
Best-Response Dynamics in Lottery Contests [PDF]
Proceedings of the 24th ACM Conference on Economics and Computation, 2023 29 pages; EC ...
Ghosh, A, Goldberg, PW
openaire +3 more sources
Tempered best response dynamics [PDF]
International Journal of Game Theory, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dai Zusai
semanticscholar +4 more sources
Approximate Exploitability: Learning a Best Response [PDF]
International Joint Conference on Artificial Intelligence, 2022 Researchers have shown that neural networks are vulnerable to adversarial examples and subtle environment changes. The resulting errors can look like blunders to humans, eroding trust in these agents.
Finbarr Timbers +8 more
openalex +3 more sources
Decentralized multi-agent reinforcement learning based on best-response policies [PDF]
Frontiers in Robotics and AIIntroduction: Multi-agent systems are an interdisciplinary research field that describes the concept of multiple decisive individuals interacting with a usually partially observable environment.
Volker Gabler, Dirk Wollherr
doaj +2 more sources
Local Interactions and p-Best Response Set [PDF]
Journal of Applied Mathematics, 2014 We study a local interaction model where agents play a finite n-person game following a perturbed best-response process with inertia. We consider the concept of minimal p-best response set to analyze distributions of actions on the long run.
J. Durieu, P. Solal
doaj +6 more sources
On Best-Response Dynamics in Potential Games [PDF]
SIAM Journal on Control and Optimization, 2018 The paper studies the convergence properties of (continuous) best-response dynamics from game theory. Despite their fundamental role in game theory, best-response dynamics are poorly understood in many games of interest due to the discontinuous, set-valued nature of the best-response map. The paper focuses on elucidating several important properties of
Brian Swenson, Ryan Murray, Soummya Kar
openaire +4 more sources