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Zhaopeng Meng

15 papers · 2018–2024 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (32) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧬 Topic Evolution πŸ† Keyword Champion (2) 🀝 Dynamic Duo (14) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (79)

Venues

IJCAI (5) AAAI (4) NeurIPS (4) ICLR (2)

Top co-authors

Jianye Hao (14) YAN ZHENG (8) Hongyao Tang (8) Wulong Liu (5) Tianpei Yang (4) Yi Ma (4) Changjie Fan (4) Chen Chen (3) Dong Li (3) Yingfeng Chen (3)

Research topics

Reinforcement Learning (14) Methods (13) Machine Learning (12) Artificial Intelligence (10) Learning Types Β· Machine Learning (10) Applications (6) Core AI (6) Deep Learning (5) Learning Types Β· Deep Learning (4) Learning Paradigms (3) Models (2) Computer Vision (1) Mathematics & Optimization (1) Bayesian & Probabilistic (1) Core Methods (1)

Keywords

deep reinforcement learning (7) offline reinforcement learning (3) reinforcement learning (3) representation learning (3) policy optimization (2) option learning (2) multi-agent system (2) policy transfer (2) policy reuse (2) policy representation (2) variational autoencoder (2) value function (1) hierarchical reinforcement learning (1) multi-agent learning (1) policy learning (1) autonomous driving (1) distribution shift (1) game artificial intelligence (1) value function estimation (1) value function approximation (1)

Papers

ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles IJCAI 2024 ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation ICLR 2023 Reining Generalization in Offline Reinforcement Learning via Representation Distinction NeurIPS 2023 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 What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator AAAI 2022 Addressing Action Oscillations through Learning Policy Inertia AAAI 2021 A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems NeurIPS 2021 An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning NeurIPS 2021 Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction AAAI 2021 Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management AAAI 2020 Efficient Deep Reinforcement Learning via Adaptive Policy Transfer IJCAI 2020 Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning IJCAI 2020 Towards Efficient Detection and Optimal Response against Sophisticated Opponents IJCAI 2019 A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents NeurIPS 2018