Zhaopeng Meng
15 papers · 2018–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (4) π Cross-Pollinator (14)
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Academic Marathon
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Taxonomy Completionist
(33)
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Cross-Pollinator
(14)
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Unstoppable
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Keyword Collector
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Century Club
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Conferences
IJCAI (5)
AAAI (4)
NIPS (4)
ICLR (2)
Top co-authors
Keywords
deep reinforcement learning
(7)
offline reinforcement learning
(3)
representation learning
(3)
policy transfer
(2)
multi-agent system
(2)
option learning
(2)
policy reuse
(2)
reinforcement learning
(2)
value function
(1)
policy learning
(1)
policy optimization
(1)
hierarchical reinforcement learning
(1)
autonomous driving
(1)
multi-agent learning
(1)
temporal difference
(1)
game artificial intelligence
(1)
value estimation
(1)
distribution shift
(1)
bayesian inference
(1)
value function estimation
(1)
Papers
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
IJCAI 2024
Reining Generalization in Offline Reinforcement Learning via Representation Distinction
NIPS 2023
ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation
ICLR 2023
What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator
AAAI 2022
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation
ICLR 2022
PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations
IJCAI 2022
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction
AAAI 2021
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning
NIPS 2021
A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems
NIPS 2021
Addressing Action Oscillations through Learning Policy Inertia
AAAI 2021
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer
IJCAI 2020
Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning
IJCAI 2020
Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management
AAAI 2020
Towards Efficient Detection and Optimal Response against Sophisticated Opponents
IJCAI 2019
A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents
NIPS 2018