repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 28d ago
google-deepmind/dm_control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Lineage graph
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) · 53%We’re launching the Google DeepMind Accelerator program in Asia Pacific to tackle environmental risks →
- PossiblePossibly related (embedding) · 52%Google DeepMind is worried about what happens when millions of agents start to interact →
- PossiblePossibly related (embedding) · 50%Google DeepMind and A24 announce first-of-its-kind research partnership →
- PossiblePossibly related (embedding) · 50%Investing in multi-agent AI safety research →
- FuzzySimilar title/name (fuzzy) · 87%DynaKRAG: A Unified Framework for Learnable Evidence Control in Multi-Hop Retrieval-Augmented Generation →
“Fuzzy title match (0.94): “DynaKRAG: A Unified Framework for Learnable Evidence Control” ≈ “google-deepmind/dm_control””
- FuzzySimilar title/name (fuzzy) · 87%WristMimic: Full-Body Humanoid Control with Wrist-Guided Manipulation →
“Fuzzy title match (0.94): “WristMimic: Full-Body Humanoid Control with Wrist-Guided Man” ≈ “google-deepmind/dm_control””
- FuzzySimilar title/name (fuzzy) · 87%Verifier-Based Reinforcement Fine-Tuning of Reasoning Models for Thermal Energy Storage Control →
“Fuzzy title match (0.94): “Verifier-Based Reinforcement Fine-Tuning of Reasoning Models” ≈ “google-deepmind/dm_control””
- FuzzySimilar title/name (fuzzy) · 87%A Tutorial on Autonomous Fault-Tolerant Control Using Knowledge-Grounded LLM Agents →
“Fuzzy title match (0.94): “A Tutorial on Autonomous Fault-Tolerant Control Using Knowle” ≈ “google-deepmind/dm_control””
Covers
newsWe’re launching the Google DeepMind Accelerator program in Asia Pacific to tackle environmental risksnewsGoogle DeepMind is worried about what happens when millions of agents start to interactnewsGoogle DeepMind and A24 announce first-of-its-kind research partnershipnewsInvesting in multi-agent AI safety research
Implements
paperDynaKRAG: A Unified Framework for Learnable Evidence Control in Multi-Hop Retrieval-Augmented GenerationpaperWristMimic: Full-Body Humanoid Control with Wrist-Guided ManipulationpaperVerifier-Based Reinforcement Fine-Tuning of Reasoning Models for Thermal Energy Storage ControlpaperA Tutorial on Autonomous Fault-Tolerant Control Using Knowledge-Grounded LLM AgentspaperInstanceControl: Controllable Complex Image Generation without Instance LabelingpaperSteering Robustness into World Action Models via Mechanistic Interpretability and Optimal ControlpaperSMC-ES: Automated synthesis of formally verified control policiespaperClosing the Loop: An Access-Control Architecture for Automated, Anomaly-Driven Network Revocation in IoT DeploymentspaperNative Video-Action Pretraining for Generalizable Robot Control
Related to (incoming)
Related across the graph
paperDynaKRAG: A Unified Framework for Learnable Evidence Control in Multi-Hop Retrieval-Augmented GenerationpaperVerifier-Based Reinforcement Fine-Tuning of Reasoning Models for Thermal Energy Storage ControlpaperWristMimic: Full-Body Humanoid Control with Wrist-Guided ManipulationpaperA Tutorial on Autonomous Fault-Tolerant Control Using Knowledge-Grounded LLM AgentspaperNative Video-Action Pretraining for Generalizable Robot ControlpaperClosing the Loop: An Access-Control Architecture for Automated, Anomaly-Driven Network Revocation in IoT Deploymentsmodellllyasviel/ControlNetmodellllyasviel/ControlNet-v1-1paperInstanceControl: Controllable Complex Image Generation without Instance LabelingnewsInvesting in multi-agent AI safety researchpaperSMC-ES: Automated synthesis of formally verified control policiesnewsGoogle DeepMind is worried about what happens when millions of agents start to interactpaperSteering Robustness into World Action Models via Mechanistic Interpretability and Optimal ControlnewsGoogle DeepMind and A24 announce first-of-its-kind research partnershipnewsWe’re launching the Google DeepMind Accelerator program in Asia Pacific to tackle environmental risks