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Emergent Hierarchical Reasoning in LLMs through Reinforcement Learning

arXiv.org
Reinforcement Learning (RL) has proven highly effective at enhancing the complex reasoning abilities of Large Language Models (LLMs), yet underlying mechanisms driving this success remain largely opaque. Our analysis reveals that puzzling phenomena like `
Haozhe Wang   +5 more
semanticscholar   +1 more source

Hierarchical reinforcement learning based energy management strategy for hybrid electric vehicle

, 2022
Chunyang Qi   +8 more
semanticscholar   +1 more source

Partial Order Hierarchical Reinforcement Learning

2008
In this paper the notion of a partial-order plan is extended to task-hierarchies. We introduce the concept of a partial-order task-hierarchy that decomposes a problem using multi-tasking actions. We go further and show how a problem can be automatically decomposed into a partial-order task-hierarchy, and solved using hierarchical reinforcement learning.
openaire   +1 more source

Hierarchical reinforcement learning for transportation infrastructure maintenance planning

Reliability Engineering & System Safety, 2023
Zachary Hamida, J. Goulet
semanticscholar   +1 more source

Hierarchical reinforcement learning with adaptive scheduling for robot control

Engineering applications of artificial intelligence, 2023
Zhigang Huang, QUAN LIU, Fei Zhu
semanticscholar   +1 more source

Hierarchical Reinforcement Learning

2015
K. Unger, D. Badre
openaire   +1 more source

Scalable evolutionary hierarchical reinforcement learning

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022
Sasha Abramowitz, Geoff Nitschke
openaire   +1 more source

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