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Machine Heart
Machine Heart
Apr 2, 2026 · Artificial Intelligence

Dual Alignment Theory Redefines Cross-Domain Offline RL Transfer

The paper revisits cross-domain offline reinforcement learning, showing that aligning both dynamics and value of source data is essential for effective policy transfer, and introduces the DVDF framework that jointly filters source samples, achieving consistent performance gains across multiple robotic control benchmarks.

DVDFPolicy Optimizationcross-domain transfer
0 likes · 13 min read
Dual Alignment Theory Redefines Cross-Domain Offline RL Transfer
SuanNi
SuanNi
Apr 2, 2026 · Artificial Intelligence

EvoSkill: Turning AI Failures into 12% Accuracy Gains with Automated Skill Evolution

The EvoSkill framework introduced by Sentient and Virginia Tech researchers equips large language models with a text‑feedback loop that automatically discovers, refines, and validates reusable agent Skills, boosting task‑specific accuracy by 12.1% and enabling cross‑domain transfer without altering the underlying model parameters.

AIAutomated LearningEvolutionary Algorithms
0 likes · 11 min read
EvoSkill: Turning AI Failures into 12% Accuracy Gains with Automated Skill Evolution
Tencent Advertising Technology
Tencent Advertising Technology
Aug 26, 2024 · Artificial Intelligence

ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in Advertising

ADSNet introduces an adaptive Siamese network for cross‑domain lifetime value (LTV) prediction in advertising, leveraging external channel data to mitigate sample sparsity, employing gain‑based sample selection, domain adaptation, and ordinal classification to improve pLTV accuracy and address negative transfer.

AdvertisingLTV predictionadaptive siamese network
0 likes · 12 min read
ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in Advertising