Equilibrium Learning in Unbounded Stochastic Games with Gaussian Transitions

stat.ML, cs.LG

Submitted: 2026-10-12

Updated: 2026-10-12

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• Active Learning for Nonlinear System Identification with Guarantees
• Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks
• General-Sum Markov Games with Borel Spaces: Existence of Approximate Nash Equilibria via Finite Model Approximations under Setwise or Weak Continuity
• The StarCraft Multi-Agent Challenge
• Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
• Value-Decomposition Networks For Cooperative Multi-Agent Learning

Related papers

• Behavior of prediction performance metrics with rare events
• Optimal Estimation of Generic Dynamics by Path-Dependent Neural Jump ODEs
• A Posterior-Dynamics Framework for Imaging Inverse Problems with Pretrained Diffusion Priors
• Efficient quadratic entropy with distance sketches
• Embedding-Bias in Conditional Independence Testing
• From Log-Odds to Shapley Values: An Explanatory Geometry for the Weighted Naive Bayes Classifier