Progress Reward Modeling for Robotic Learning: A Comprehensive Survey
Paper • 2607.21655 • Published • 193
xiang huang
xianghuang
AI & ML interests
None yet
Recent Activity
upvoted a paper 7 days ago
Progress Reward Modeling for Robotic Learning: A Comprehensive Survey upvoted a paper 7 days ago
Kimi K3: Open Frontier IntelligenceOrganizations
None yet
upvoted 3
papers 7 days ago
upvoted 6
papers about 1 month ago
Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning
Paper • 2601.16163 • Published • 15
Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning
Paper • 2503.15558 • Published • 52
Cosmos World Foundation Model Platform for Physical AI
Paper • 2501.03575 • Published • 84
World Action Models are Zero-shot Policies
Paper • 2602.15922 • Published • 20
Cosmos 3: Omnimodal World Models for Physical AI
Paper • 2606.02800 • Published • 142
Agents' Last Exam
Paper • 2606.05405 • Published • 387
upvoted 6
papers 3 months ago
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Paper • 2601.11868 • Published • 37
FIPO: Eliciting Deep Reasoning with Future-KL Influenced Policy Optimization
Paper • 2603.19835 • Published • 353
Recursive Multi-Agent Systems
Paper • 2604.25917 • Published • 287
SkillClaw: Let Skills Evolve Collectively with Agentic Evolver
Paper • 2604.08377 • Published • 295
Seedance 2.0: Advancing Video Generation for World Complexity
Paper • 2604.14148 • Published • 168
Claw-Eval: Toward Trustworthy Evaluation of Autonomous Agents
Paper • 2604.06132 • Published • 122
upvoted 3
collections 3 months ago
liked 2
datasets 3 months ago