Pan, E;
Petsagkourakis, P;
Mowbray, M;
Zhang, D;
del Rio-Chanona, A;
(2021)
Constrained Q-Learning for Batch Process Optimization.
In:
Proceedings of Challenges of Real-World Reinforcement Learning Workshop at the 34th Conference on Neural Information Processing Systems (NeurIPS 2020).
NeurIPS: Vancouver, Canada..
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| Type: | Proceedings paper |
|---|---|
| Title: | Constrained Q-Learning for Batch Process Optimization |
| Event: | Challenges of Real-World Reinforcement Learning Workshop at the 34th Conference on Neural Information Processing Systems (NeurIPS 2020) |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://sites.google.com/view/neurips2020rwrl |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10119664 |
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