IFlowNets: Extending Generative Samplers to Learn Strategies in Incomplete Information Games
Conor M. Artman, Nicholas Di, Scott Perkins
cs.LG, cs.MA
Submitted: 2026-08-05
Comments: Accepted at the NeurIPS 2025 Workshop on Dynamics at the Frontiers of Optimization, Sampling, and Games
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Generative Flow Networks: a Markov Chain Perspective
- Expected flow networks in stochastic environments and two-player zero-sum games
- OpenSpiel: A Framework for Reinforcement Learning in Games
- Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning
- A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games
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