…faster early convergence, controlled response length, and sustained multi-turn tool use. View arXiv page View PDF GitHub 4 Add to collection Community please contact minstar@upstage.ai any information for the…
…bias and overfitting in representation learning. AI-generated summary Model-based representations recently stand out as a promising framework that embeds latent dynamics information into the representations for downstream off-policy actor…
…after the bridge and outperforms a matched replay control by 2.8 points. The operational principal is to avoid using scarce labeled data on the least prepared policy: use sparse reward for…
…Jointly Modeling Video Dynamics and Actions for Generalizable Robot Control (2026) VAG: Dual-Stream Video-Action Generation for Embodied Data Synthesis (2026) R3DP: Real-Time 3D-Aware Policy for Embodied Manipulation (2026…
…vertical device-cloud collaboration and horizontal multi-agent collaboration , which can be combined into hybrid topologies in practice. We then examine learning to collaborate, addressing the training of routing policies and the…
…unified framework that decomposes rollout processes into generation, filtering, control, and replay stages, enabling systematic evaluation and improvement across reasoning tasks. AI-generated summary Reinforcement learning (RL) has become a central post…
…fine-tuning of diffusion models by maintaining independent advantage estimators and harmonizing policy gradients through quadratic programming without manual reward weighting. AI-generated summary Reinforcement learning fine-tuning has become the dominant…
…redesign for continuous-action prediction, and adaptive reasoning for reduced latency. AI-generated summary Vision-Language-Action (VLA) models aim to provide a single generalist controller for robots, but today's systems…
…Diverse Parallel Exploration Policy Optimization for LLM-based Agents (2026) Co-Evolution of Policy and Internal Reward for Language Agents (2026) SLEA-RL: Step-Level Experience Augmented Reinforcement Learning for Multi-Turn…
…AI-generated summary Vision-Language-Action (VLA) models achieve remarkable flexibility and generalization beyond classical control paradigms. However, most prevailing VLAs are trained under a single-frame observation paradigm, which leaves them…