repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 21h ago
airbus/scikit-decide
AI framework for Reinforcement Learning, Automated Planning and Scheduling
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 50%AgentCore-8B →
- PossiblePossibly related (embedding) · 50%Optimal Resource Utilization for Autonomous Laboratory Orchestrators →
- PossiblePossibly related (embedding) · 49%Best practices for multi-turn reinforcement learning in Amazon SageMaker AI →
- PossiblePossibly related (embedding) · 48%Automating Potential-based Reward Shaping with Vision Language Model Guidance →
- PossiblePossibly related (embedding) · 47%Agentic AI for Robot Teams →
- PossiblePossibly related (embedding) · 51%ACID: Action Consistency via Inverse Dynamics for Planning with World Models →
- PossiblePossibly related (embedding) · 46%Graph Sparse Sampling: Breaking the Curse of the Horizon in Continuous MDP Planning →
- PossiblePossibly related (embedding) · 50%GaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation Tasks →
Related to
Implements
Covers
Implements (incoming)
paperACID: Action Consistency via Inverse Dynamics for Planning with World ModelspaperGraph Sparse Sampling: Breaking the Curse of the Horizon in Continuous MDP PlanningpaperGaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation TaskspaperVerifier-Based Reinforcement Fine-Tuning of Reasoning Models for Thermal Energy Storage Control
Covers (incoming)
Related across the graph
paperOptimal Resource Utilization for Autonomous Laboratory OrchestratorspaperVerifier-Based Reinforcement Fine-Tuning of Reasoning Models for Thermal Energy Storage ControlpaperGaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation TaskspaperACID: Action Consistency via Inverse Dynamics for Planning with World ModelspaperAutomating Potential-based Reward Shaping with Vision Language Model GuidancenewsBest practices for multi-turn reinforcement learning in Amazon SageMaker AInewsAgentic AI for Robot TeamsnewsCustom reward functions for multi-turn reinforcement learning with Amazon Nova ForgemodelAgentCore-8BpaperGraph Sparse Sampling: Breaking the Curse of the Horizon in Continuous MDP Planning