The DOI matches its Crossref record.
Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The paper introduces two novel non-stationary environments with flipping rewards: MultiPadLunarLander and ChooseBox.
“We additionally introduce two novel non-stationary environments with flipping rewards as drifting dynamics: MultiPadLunarLander , an extension of the classic LunarLander environment with a second landing pad and ChooseBox , a Minigrid (Chevalier-Boisvert et al., 2023) based environment with the goal of picking up one of two boxes”
From Space-sampled Value Decay: Forgetting Mechanisms for Non-stationary Reinforcement Learning (2026) · cites this paper as Chevalier-Boisvert et al., 2023
Citations
Cited by
Sorted by citations
Predictive Representations: Building Blocks of Intelligence
Carvalho, W., Tomov, M. S., de Cothi, W., Barry, C., & Gershman, S. J. (2024) · Neural Computation · doi:10.1162/neco_a_01705 · Cited by 15
From Text to Space: Mapping Abstract Spatial Models in LLMs during a Grid-World Navigation Task
Martorell, N. (2025) · arXiv · doi:10.48550/arxiv.2502.16690
Space-sampled Value Decay: Forgetting Mechanisms for Non-stationary Reinforcement Learning
Störck, F., Hartmann, P., Hinder, F., Neumann, K., & Hammer, B. (2026) · arXiv · doi:10.48550/arxiv.2606.11797
Metadata
- Authors
- Chevalier-Boisvert, M., Dai, B., Towers, M., Perez-Vicente, R., Willems, L., Lahlou, S., Pal, S., Castro, P. S., & Terry, J.
- Venue
- Advances in Neural Information Processing Systems 36
- Published
- 2023
- Pages
- 73383-73394
- ISSN
- 1049-5258 (ISSN-L)
- OpenAlex
- W7133201496
- Cited by
- 20
- References
- 0
- Citations by year
- 2026: 18 · 2025: 2
- FWCI
- 3.54
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- neural information processing systems (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Reinforcement Learning in Robotics
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence in Games
- Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
- Keywords
- MiniGrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
