Explicit Exploration for High-Welfare Equilibria in Game-Theoretic Multiagent Reinforcement Learning
A Nguyen, A Gu, and MP Wellman
42nd International Conference on Machine Learning (ICML), July 2025.
Abstract
Iterative extension of empirical game models through deep reinforcement learning (RL) has proved an effective approach for finding…
A Financial Market Simulation Environment for Trading Agents Using Deep Reinforcement Learning
C Mascioli, A Gu, Y Wang, M Chakraborty, and MP Wellman
5th ACM International Conference on AI in Finance (ICAIF), pages 117-125, November 2024.
Abstract
We present PyMarketSim, a financial market simulation environment designed for training…
A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning
Z Li and MP Wellman
33rd International Joint Conference on Artificial Intelligence (IJCAI), pages 148-156, August 2024.
earlier version won Best Paper Award at 16th Adaptive and Learning Agents (ALA) Workshop at AAMAS, May 2024.
Abstract
Evaluating…
