Computer Science > Machine Learning
arXiv:2403.06880 (cs)
[Submitted on 11 Mar 2024 (v1), last revised 18 Mar 2024 (this version, v2)]
Title:Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning
Authors:Junseok Park,Yoonsung Kim,Hee Bin Yoo,Min Whoo Lee,Kibeom Kim,Won-Seok Choi,Minsu Lee,Byoung-Tak Zhang
View a PDF of the paper titled Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning, by Junseok Park and 7 other authors
View PDFHTML (experimental)Abstract:Toddlers evolve from free exploration with sparse feedback to exploiting prior experiences for goal-directed learning with denser rewards. Drawing inspiration from this Toddler-Inspired Reward Transition, we set out to explore the implications of varying reward transitions when incorporated into Reinforcement Learning (RL) tasks. Central to our inquiry is the transition from sparse to potential-based dense rewards, which share optimal strategies regardless of reward changes. Through various experiments, including those in egocentric navigation and robotic arm manipulation tasks, we found that proper reward transitions significantly influence sample efficiency and success rates. Of particular note is the efficacy of the toddler-inspired Sparse-to-Dense (S2D) transition. Beyond these performance metrics, using Cross-Density Visualizer technique, we observed that transitions, especially the S2D, smooth the policy loss landscape, promoting wide minima that enhance generalization in RL models.
| Comments: | Accepted as a full paper at AAAI 2024 (Oral presentation): 7 pages (main paper), 2 pages (references), 17 pages (appendix) each |
| Subjects: | Machine Learning (cs.LG); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2403.06880 [cs.LG] |
| (orarXiv:2403.06880v2 [cs.LG] for this version) | |
| https://doi.org/10.48550/arXiv.2403.06880 arXiv-issued DOI via DataCite |
Submission history
From: Junseok Park [view email][v1] Mon, 11 Mar 2024 16:34:23 UTC (13,840 KB)
[v2] Mon, 18 Mar 2024 09:43:20 UTC (13,830 KB)
Full-text links:
Access Paper:
- View PDF
- HTML (experimental)
- TeX Source
- Other Formats
View a PDF of the paper titled Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning, by Junseok Park and 7 other authors
References & Citations
Bookmark
Bibliographic and Citation Tools
Bibliographic Explorer(What is the Explorer?)
Connected Papers(What is Connected Papers?)
Litmaps(What is Litmaps?)
scite Smart Citations(What are Smart Citations?)
Code, Data and Media Associated with this Article
alphaXiv(What is alphaXiv?)
CatalyzeX Code Finder for Papers(What is CatalyzeX?)
DagsHub(What is DagsHub?)
Gotit.pub(What is GotitPub?)
Hugging Face(What is Huggingface?)
Papers with Code(What is Papers with Code?)
ScienceCast(What is ScienceCast?)
Demos
Recommenders and Search Tools
Influence Flower(What are Influence Flowers?)
CORE Recommender(What is CORE?)
IArxiv Recommender(What is IArxiv?)
arXivLabs: experimental projects with community collaborators
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community?Learn more about arXivLabs.