BOOK-CHAPTER
State Representation Learning for Minimax Deep Deterministic Policy Gradient
Dapeng HuXuesong JiangXiumei WeiJian Wang
Year: 2019 Lecture notes in computer science Pages: 481-487 Publisher: Springer Science+Business Media
Keywords:
Reinforcement learning Computer science Minimax Artificial intelligence Robustness (evolution) Representation (politics) Artificial neural network Machine learning State (computer science) Mathematical optimization Algorithm Mathematics
Metrics
1
Cited By
0.00
FWCI (Field Weighted Citation Impact)
12
Refs
0.15
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Reinforcement Learning in Robotics
Physical Sciences → Computer Science → Artificial Intelligence
Adaptive Dynamic Programming Control
Physical Sciences → Computer Science → Computational Theory and Mathematics
Machine Learning and ELM
Physical Sciences → Computer Science → Artificial Intelligence
Related Documents
BOOK-CHAPTER
State Representation Learning for Multi-agent Deep Deterministic Policy Gradient
Advances in intelligent systems and computing Year: 2018 Pages: 667-675
JOURNAL ARTICLE
Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient
Shihui LiYi WuXinyue CuiHonghua DongFei FangStuart Russell
Journal: Proceedings of the AAAI Conference on Artificial Intelligence Year: 2019 Vol: 33 (01)Pages: 4213-4220
JOURNAL ARTICLE
Multiagent inspection system via minimax multiagent deep deterministic policy gradient
Dongfang SongZihao HuaHaonan TangLinfeng Huang
Year: 2025 Pages: 39-39
JOURNAL ARTICLE
Mutual Deep Deterministic Policy Gradient Learning
Journal: 2022 International Conference on Big Data, Information and Computer Network (BDICN) Year: 2022 Pages: 508-513
JOURNAL ARTICLE
Reinforcement Learning with Deep Deterministic Policy Gradient
Year: 2021 Pages: 82-85