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

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.

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: Presentations at conferences
• Confidentiality degree: is not subject to a state or trade secret
• WWW: URL