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06/13/2023
Synapse: Leveraging Few-Shot Exemplars for Human-Level Computer Control
This paper investigates the design of few-shot exemplars for computer au...
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02/07/2023
Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning
Recent advances in multi-agent reinforcement learning (MARL) allow agent...
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05/27/2022
Off-Beat Multi-Agent Reinforcement Learning
We investigate model-free multi-agent reinforcement learning (MARL) in e...
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01/14/2022
Attention over Self-attention:Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation
Re-ranking models refine the item recommendation list generated by the p...
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09/28/2021
Reinforcement Learning for Quantitative Trading
Quantitative trading (QT), which refers to the usage of mathematical mod...
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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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12/23/2020
Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management
Portfolio management via reinforcement learning is at the forefront of f...
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12/09/2020
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting
Deep neural networks have been shown to easily overfit to biased trainin...
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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
Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning
Existing value-factorized based Multi-Agent deep Reinforce-ment Learning...
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11/16/2019
