SC-AIRL: Share-Critic in Adversarial Inverse Reinforcement Learning for Long-Horizon Task
Author:
Affiliation:
1. School of Electrical Engineering, Guangxi University, Nanning, China
Funder
Natural Science Foundation of Guangxi
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/7083369/10440130/10436349.pdf?arnumber=10436349
Reference37 articles.
1. Unifying count-based exploration and intrinsic motivation;Bellemare
2. Overcoming Exploration in Reinforcement Learning with Demonstrations
3. Guided cost learning: Deep inverse optimal control via policy optimization;Finn
4. Learning driving styles for autonomous vehicles from demonstration
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