Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning

DOI10.1613/jair.1.13326OpenAlexW4220923746WikidataQ113424376 ScholiaQ113424376MaRDI QIDQ5076329

Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma

Publication date: 16 May 2022

Published in: Journal of Artificial Intelligence Research (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2107.03961

zbMATH Keywords

theorem provingreinforcement learningplanning

Mathematics Subject Classification ID

Artificial intelligence (68Txx)

Uses Software

• OpenAI Gym
• MiniGrid

Cites Work

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• Stochastic dynamic programming with factored representations
• Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning
• Quantitative Multi-objective Verification for Probabilistic Systems
• Algorithms for Reinforcement Learning
• Planning Algorithms
• Recent advances in hierarchical reinforcement learning

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