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Racktic 

authored a paper 12 days ago

Democratizing Robot-Use Agents: A Unified Harness with Open Models

Paper • 2611.01560 • Published 14 days ago • 50

Racktic 

authored a paper 5 months ago

Masking Stale Observations Helps Search Agents -- Until It Doesn't: A Regime Map and Its Mechanism

Paper • 2606.00408 • Published May 29 • 63

Racktic 

authored a paper 6 months ago

MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI

Paper • 2605.08678 • Published May 9 • 9

Racktic 

authored 2 papers about 1 year ago

Emergent Hierarchical Reasoning in LLMs through Reinforcement Learning

Paper • 2509.03646 • Published Sep 3, 2025 • 33

Reverse-Engineered Reasoning for Open-Ended Generation

Paper • 2509.06160 • Published Sep 7, 2025 • 151

CohenQu 

authored 3 papers over 1 year ago

Recursive Introspection: Teaching Language Model Agents How to Self-Improve

Paper • 2407.18219 • Published Jul 25, 2024 • 3

Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning

Paper • 2310.18247 • Published Oct 27, 2023

Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Paper • 2503.07572 • Published Mar 10, 2025 • 48

aviralku 

authored 12 papers almost 2 years ago

Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models

Paper • 2310.10639 • Published Oct 16, 2023 • 3

Vision-Language Models Provide Promptable Representations for Reinforcement Learning

Paper • 2402.02651 • Published Feb 5, 2024

ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL

Paper • 2402.19446 • Published Feb 29, 2024

Unfamiliar Finetuning Examples Control How Language Models Hallucinate

Paper • 2403.05612 • Published Mar 8, 2024 • 3

Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data

Paper • 2404.14367 • Published Apr 22, 2024 • 1

RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold

Paper • 2406.14532 • Published Jun 20, 2024

Recursive Introspection: Teaching Language Model Agents How to Self-Improve

Paper • 2407.18219 • Published Jul 25, 2024 • 3

Generative Verifiers: Reward Modeling as Next-Token Prediction

Paper • 2408.15240 • Published Aug 27, 2024 • 13

Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning

Paper • 2410.08146 • Published Oct 10, 2024 • 1

Steering Your Generalists: Improving Robotic Foundation Models via Value Guidance

Paper • 2410.13816 • Published Oct 17, 2024 • 1

Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data

Paper • 2412.07762 • Published Dec 10, 2024

Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models

Paper • 2412.15287 • Published Dec 18, 2024