Potential-based Reward Shaping
Potential-Based Reward Shaping is a reinforcement learning technique that modifies the reward function by adding state-dependent and next-state-dependent potential differences to accelerate learning while preserving the optimal policy.
28
Publications
1.7K
Citations
71
Authors
39
Institutions
Publications per year
2017–2026
11
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39

University of York
York, United Kingdom
8 h-index
14 publications
970 citations
Vrije Universiteit Brussel
Brussels, Belgium
4 h-index
14 publications
530 citations
University of California San Diego
San Diego, United States
2 h-index
4 publications
547 citations

Changsha University
Changsha, China
1 h-index
1 publications
20 citations
Max Planck Institute for Biological Cybernetics
Tübingen, Germany
1 h-index
1 publications
24 citations
University of Nebraska–Lincoln
Lincoln, United States
1 h-index
2 publications
48 citations
University of Kent
Canterbury, United Kingdom
1 h-index
1 publications
80 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
1 h-index
3 publications
210 citations
1–8 of 39
Repository · 2 publications · 220 citations
2
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2 publications · 84 citations
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Repository · 1 publications · 94 citations
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1 publications · 21 citations
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1 publications · 47 citations
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