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09/14/2023
Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context
Financial simulators play an important role in enhancing forecasting acc...
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06/19/2023
Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification
Ad hoc teamwork requires an agent to cooperate with unknown teammates wi...
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02/07/2023
Population-size-Aware Policy Optimization for Mean-Field Games
In this work, we attempt to bridge the two fields of finite-agent and in...
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08/07/2022
A Game-Theoretic Perspective of Generalization in Reinforcement Learning
Generalization in reinforcement learning (RL) is of importance for real ...
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07/12/2022
Offline Equilibrium Finding
Offline reinforcement learning (Offline RL) is an emerging field that ha...
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04/11/2022
A Unified Perspective on Deep Equilibrium Finding
Extensive-form games provide a versatile framework for modeling interact...
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06/02/2021
Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play
Securing networked infrastructures is important in the real world. The p...
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05/18/2021
CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space
In many real-world scenarios, a team of agents coordinate with each othe...
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02/17/2021
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks
In this paper, we propose a new approach to train Generative Adversarial...
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02/16/2021
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents
Current value-based multi-agent reinforcement learning methods optimize ...
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12/07/2020
Efficient Reservoir Management through Deep Reinforcement Learning
Dams impact downstream river dynamics through flow regulation and disrup...
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08/21/2020
Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication
With the rise of online e-commerce platforms, more and more customers pr...
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11/18/2019