On the public citation graph

https://doi.org/10.2139/ssrn.4666277

0 signed · 22 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-540-72383-7_128openalex-extracted
Intelligence Through Interaction: Towards a Unified Theory for Learning
inferredcites →https://doi.org/10.1007/s10458-006-7035-4openalex-extracted
Hierarchical multi-agent reinforcement learning
inferredcites →https://doi.org/10.1016/0893-6080(91)90056-bopenalex-extracted
Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system
inferredcites →https://doi.org/10.1016/j.neunet.2019.08.020openalex-extracted
Self-organizing neural networks for universal learning and multimodal memory encoding
inferredcites →https://doi.org/10.1038/nature14236openalex-extracted
Human-level control through deep reinforcement learning
inferredcites →https://doi.org/10.1038/s41467-019-13239-6openalex-extracted
Hierarchical motor control in mammals and machines
inferredcites →https://doi.org/10.1109/aamas.2004.289openalex-extracted
Unifying Temporal and Structural Credit Assignment Problems
inferredcites →https://doi.org/10.1109/icra.2017.7989037openalex-extracted
Decentralized non-communicating multiagent collision avoidance with deep reinforcement learning
inferredcites →https://doi.org/10.1109/ijcnn.2004.1381208openalex-extracted
FALCON: a fusion architecture for learning, cognition, and navigation
inferredcites →https://doi.org/10.1109/ssci44817.2019.9002777openalex-extracted
Multi-agent Reinforcement Learning in Spatial Domain Tasks using Inter Subtask Empowerment Rewards
inferredcites →https://doi.org/10.1109/tciaig.2014.2336702openalex-extracted
Creating Autonomous Adaptive Agents in a Real-Time First-Person Shooter Computer Game
inferredcites →https://doi.org/10.1109/tnn.2007.905839openalex-extracted
Integrating Temporal Difference Methods and Self-Organizing Neural Networks for Reinforcement Learning With Delayed Evaluative Feedback
inferredcites →https://doi.org/10.1109/tnnls.2014.2327636openalex-extracted
Self-Organizing Neural Networks Integrating Domain Knowledge and Reinforcement Learning
inferredcites →https://doi.org/10.1145/3453160openalex-extracted
Hierarchical Reinforcement Learning
inferredcites →https://doi.org/10.1152/jn.00052.2018openalex-extracted
Synergies in coordination: a comprehensive overview of neural, computational, and behavioral approaches
inferredcites →https://doi.org/10.1162/neco_a_00639openalex-extracted
Hierarchical Control Using Networks Trained with Higher-Level Forward Models
inferredcites →https://doi.org/10.1364/ao.26.004919openalex-extracted
ART 2: self-organization of stable category recognition codes for analog input patterns
inferredcites →https://doi.org/10.21236/ada440418openalex-extracted
Hierarchical Multiagent Reinforcement Learning
inferredcites →https://doi.org/10.4230/lipics.cp.2023.25openalex-extracted
Learning a Generic Value-Selection Heuristic Inside a Constraint Programming Solver
inferredcites →https://doi.org/10.48550/arxiv.1708.04782openalex-extracted
StarCraft II: A New Challenge for Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.1809.09332openalex-extracted
Hierarchical Deep Multiagent Reinforcement Learning with Temporal Abstraction
inferredcites →https://doi.org/10.48550/arxiv.1905.09808openalex-extracted
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.