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Conferences
Hongyao Tang
12 papers at tracked venues · 11 at CORE A* · active 2024–2025
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Venues
NeurIPS
×6
ICML
×4
AAAI
×1
AAMAS
×1
Frequent coauthors
Pengyi Li
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Yaodong Yang
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Da Wang
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Xi Zeng
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Papers
COLA: Towards Efficient Multi-Objective Reinforcement Learning with Conflict Objective Regularization in Latent Space
NeurIPS 2025
·
Pengyi Li
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CORE: Collaborative Optimization with Reinforcement Learning and Evolutionary Algorithm for Floorplanning
NeurIPS 2025
·
Pengyi Li
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Dual Ensembled Multiagent Q-Learning with Hypernet Regularizer
AAMAS 2025
·
Yaodong Yang
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FANS: A Flatness-Aware Network Structure for Generalization in Offline Reinforcement Learning
NeurIPS 2025
·
Da Wang
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LaRes: Evolutionary Reinforcement Learning with LLM-based Adaptive Reward Search
NeurIPS 2025
·
Pengyi Li
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Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn
ICML 2025
·
Hongyao Tang
R*: Efficient Reward Design via Reward Structure Evolution and Parameter Alignment Optimization with Large Language Models
ICML 2025
·
Pengyi Li
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Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning
AAAI 2024
·
Xi Zeng
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EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search
ICML 2024
·
Pengyi Li
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Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn
NeurIPS 2024
·
Hongyao Tang
The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space
NeurIPS 2024
·
Hongyao Tang
Value-Evolutionary-Based Reinforcement Learning
ICML 2024
·
Pengyi Li
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