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🏷️ Reinforcement Learning in Robotics

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A novel actor–critic–identifier architecture for approximate optimal control of uncertain nonlinear…
2012 • 641 citations
How are reinforcement learning and deep learning algorithms used for big data based decision making…
2022 • 201 citations
Self-Imitation Learning
2018 • 95 citations
Approximate $N$ -Player Nonzero-Sum Game Solution for an Uncertain Continuous Nonlinear System
2014 • 95 citations
Intelligent-based multi-robot path planning inspired by improved classical Q-learning and improved …
2015 • 76 citations
Twin actor twin delayed deep deterministic policy gradient (TATD3) learning for batch process contr…
2021 • 66 citations