Xiaotian Hao
13 papers · 2020–2024 · 6 conferences · across top CS/AI conferences
Achievements
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(6)
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(12)
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(5)
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(13)
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Keyword Collector
(51)
Conferences
AAAI (4)
NIPS (3)
ICLR (2)
ICML (2)
IJCAI (1)
UAI (1)
Top co-authors
Keywords
multi-agent reinforcement learning
(4)
reinforcement learning
(3)
deep reinforcement learning
(2)
transfer learning
(2)
hierarchical reinforcement learning
(1)
bipartite matching
(1)
curriculum learning
(1)
evolutionary algorithm
(1)
heuristic search
(1)
progressive learning
(1)
bilevel optimization
(1)
mutual information
(1)
model-based reinforcement learning
(1)
maximum weight matching
(1)
partial observability
(1)
protein design
(1)
working memory
(1)
policy transfer
(1)
policy learning
(1)
online advertising
(1)
Papers
Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-based Monte Carlo Tree Search
UAI 2024
Unlock the Intermittent Control Ability of Model Free Reinforcement Learning
NIPS 2024
Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning
AAAI 2024
Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces
AAAI 2024
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning
AAAI 2024
Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks
ICLR 2023
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration
ICML 2022
Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing
NIPS 2022
A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems
NIPS 2021
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising
IJCAI 2020
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising
ICML 2020
From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning
AAAI 2020
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems
ICLR 2020