Monte Carlo Tree Search with Function Approximation for
Risk-constrained Planning and Reinforcement Learning

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Publications Detailed Information on Publication Record

Detailed Information on Publication Record

k 2023

Monte Carlo Tree Search with Function Approximation for Risk-constrained Planning and Reinforcement Learning

KUREČKA, Martin

Basic information

Original name

Monte Carlo Tree Search with Function Approximation for Risk-constrained Planning and Reinforcement Learning

Authors

KUREČKA, Martin

Edition

The IJCAI-23 Joint Workshop on Artificial Intelligence Safety and Safe Reinforcement Learning, 2023

Other information

Type of outcome

Prezentace na konferencích

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Změněno: 30/1/2024 18:02, Mgr. Martin Kurečka

KUREČKA, Martin. Monte Carlo Tree Search with Function Approximation for Risk-constrained Planning and Reinforcement Learning. In The IJCAI-23 Joint Workshop on Artificial Intelligence Safety and Safe Reinforcement Learning. 2023.

@proceedings{2367779,
   author = {Kurečka, Martin},
   booktitle = {The IJCAI-23 Joint Workshop on Artificial Intelligence Safety and Safe Reinforcement Learning},
   title = {Monte Carlo Tree Search with Function Approximation for Risk-constrained Planning and Reinforcement Learning},
   url = {https://ceur-ws.org/Vol-3505/preface.pdf},
   year = {2023}
}

TY  - CONF
ID  - 2367779
AU  - Kurečka, Martin
PY  - 2023
TI  - Monte Carlo Tree Search with Function Approximation for Risk-constrained Planning and Reinforcement Learning
UR  - https://ceur-ws.org/Vol-3505/preface.pdf
ER  -

KUREČKA, Martin. Monte Carlo Tree Search with Function Approximation for Risk-constrained Planning and Reinforcement Learning. In \textit{The IJCAI-23 Joint Workshop on Artificial Intelligence Safety and Safe Reinforcement Learning}. 2023.