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Efficient policy detecting and reusing for non-stationarity in Markov games

Autonomous agents and multi-agent systems, 2021-01, Vol.35 (1), Article 2

2021

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Spatial analysis with SPIAT and spaSim to characterize and simulate tissue microenvironments

Nature communications, 2023-05, Vol.14 (1), p.2697-2697, Article 2697

2023

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Coupling Glycerol Conversion with Hydrogen Production Using Alloyed Electrocatalysts

Langmuir, 2023-09, Vol.39 (36), p.12855-12864

2023

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ASN: action semantics network for multiagent reinforcement learning

Autonomous agents and multi-agent systems, 2023-12, Vol.37 (2), Article 45

2023

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Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain

IEEE transaction on neural networks and learning systems, 2024-07, Vol.35 (7), p.8762-8782

2024

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Experimental Studies on Steam Controlling Burn-back of Wood Crib Fire under Total Flooding Condition

Energy procedia, 2015, Vol.66, p.185-188

2015

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668 A toolkit for the quantitative analysis of the spatial distribution of cells of the tumor immune microenvironment

Journal for immunotherapy of cancer, 2020-11, Vol.8 (Suppl 3), p.A705-A705

2020

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A survey on interpretable reinforcement learning

Machine learning, 2024-08, Vol.113 (8), p.5847-5890

2024

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Neighborhood Cooperative Multiagent Reinforcement Learning for Adaptive Traffic Signal Control in Epidemic Regions

IEEE transactions on intelligent transportation systems, 2022-12, Vol.23 (12), p.25157-25168

2022

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Advertising Impression Resource Allocation Strategy with Multi-Level Budget Constraint DQN in Real-Time Bidding

Neurocomputing (Amsterdam), 2022-06, Vol.488, p.647-656

2022

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Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities

The Journal of artificial intelligence research, 2024-01, Vol.79, p.359-415

2024

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Towards quantitative and intuitive percutaneous tumor puncture via augmented virtual reality

Computerized medical imaging and graphics, 2021-06, Vol.90, p.101905-101905, Article 101905

2021

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Efficient Deep Reinforcement Learning via Policy-Extended Successor Feature Approximator

Distributed Artificial Intelligence, 2023, p.29-44

2023

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Transfer Reinforcement Learning Based Negotiating Agent Framework

Advances in Knowledge Discovery and Data Mining, p.386-397

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From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2020, Vol.34 (5), p.7293-7300

2020

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T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler

2023 International Joint Conference on Neural Networks (IJCNN), 2023, p.1-8

2023

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Adaptively Shaping Reinforcement Learning Agents via Human Reward

PRICAI 2018: Trends in Artificial Intelligence, 2018, Vol.11012, p.85-97

2018

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Achieving Multiagent Coordination Through CALA-rFMQ Learning in Continuous Action Space

PRICAI 2018: Trends in Artificial Intelligence, 2018, Vol.11013, p.132-139

2018

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FPGA Divide-and-Conquer Placement using Deep Reinforcement Learning

2024 2nd International Symposium of Electronics Design Automation (ISEDA), 2024, p.690-696

2024

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PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2024, Vol.38 (14), p.15934-15942

2024

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A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2024, Vol.38 (15), p.16352-16360

2024

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Interactive RL via Online Human Demonstrations

Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems, 2020, p.2065-2067

2020

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Learning to Shape Rewards Using a Game of Two Partners

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2023, Vol.37 (10), p.11604-11612

2023

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Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019, p.2282-2284

2019

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Virtually-Extended Proprioception: Providing Spatial Reference in VR through an Appended Virtual Limb

Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 2020, p.1-12

2020

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Efficient policy detecting and reusing for non-stationarity in Markov games

Spatial analysis with SPIAT and spaSim to characterize and simulate tissue microenvironments

Coupling Glycerol Conversion with Hydrogen Production Using Alloyed Electrocatalysts

ASN: action semantics network for multiagent reinforcement learning

Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain

Experimental Studies on Steam Controlling Burn-back of Wood Crib Fire under Total Flooding Condition

668 A toolkit for the quantitative analysis of the spatial distribution of cells of the tumor immune microenvironment

A survey on interpretable reinforcement learning

Neighborhood Cooperative Multiagent Reinforcement Learning for Adaptive Traffic Signal Control in Epidemic Regions

Advertising Impression Resource Allocation Strategy with Multi-Level Budget Constraint DQN in Real-Time Bidding

Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities

Towards quantitative and intuitive percutaneous tumor puncture via augmented virtual reality

Efficient Deep Reinforcement Learning via Policy-Extended Successor Feature Approximator

Transfer Reinforcement Learning Based Negotiating Agent Framework

From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning

T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler

Adaptively Shaping Reinforcement Learning Agents via Human Reward

Achieving Multiagent Coordination Through CALA-rFMQ Learning in Continuous Action Space

FPGA Divide-and-Conquer Placement using Deep Reinforcement Learning

PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning

A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning

Interactive RL via Online Human Demonstrations

Learning to Shape Rewards Using a Game of Two Partners

Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents

Virtually-Extended Proprioception: Providing Spatial Reference in VR through an Appended Virtual Limb

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