May 29, 2023 · We review where RL holds promise for improving evidence-informed adaptive management decisions even when classical optimization methods are ...
Here we explore how reinforcement learning (RL), a subfield of artificial intelligence, approaches decision problems through a lens similar to adaptive ...
We review where RL holds promise for improving evidence-informed adaptive management decisions even when classical optimization methods are intractable and ...
But can these methods help us devise robust strategies for managing environmental systems under great uncertainty? Here we explore how reinforcement learning ( ...
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I am a computer scientist developing AI methods across machine learning, optimization, and causal inference for planetary health challenges.
Bridging adaptive management and reinforcement learning for more robust decisions. M Chapman, L Xu, M Lapeyrolerie, C Boettiger. Philosophical Transactions of ...
2023. Bridging adaptive management and reinforcement learning for more robust decisions. M Chapman, L Xu, M Lapeyrolerie, C Boettiger. Philosophical ...
This research seeks to advance current knowledge in ecological forecasting and decision-making by adapting and combining machine-learning algorithms with ...
This paper introduces Reinforcement Learning (RL) that employs closed-loop control as a new exploration method that enables automated adaptive policy-making ...
Bridging adaptive management and reinforcement learning for more robust decisions · Frequencies of decision making and monitoring in adaptive resource management.