Bootstrapping Task Spaces for Self-Improvement
Fuente:
arXiv
Saved in:
| Main Authors: | Jiang, Minqi, Lupu, Andrei, Bachrach, Yoram |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Neural Mean-Field Games: Extending Mean-Field Game Theory with Neural Stochastic Differential Equations
by: Thöni, Anna C. M., et al.
Published: (2025)
by: Thöni, Anna C. M., et al.
Published: (2025)
The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements
by: Zhao, Bingchen, et al.
Published: (2025)
by: Zhao, Bingchen, et al.
Published: (2025)
Modelling Chemical Reaction Networks using Neural Ordinary Differential Equations
by: Thöni, Anna C. M., et al.
Published: (2025)
by: Thöni, Anna C. M., et al.
Published: (2025)
Learning to Act without Actions
by: Schmidt, Dominik, et al.
Published: (2023)
by: Schmidt, Dominik, et al.
Published: (2023)
Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples
by: Jiralerspong, Marco, et al.
Published: (2023)
by: Jiralerspong, Marco, et al.
Published: (2023)
Reward-Free Curricula for Training Robust World Models
by: Rigter, Marc, et al.
Published: (2023)
by: Rigter, Marc, et al.
Published: (2023)
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula
by: Liu, Chenruo, et al.
Published: (2026)
by: Liu, Chenruo, et al.
Published: (2026)
AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench
by: Toledo, Edan, et al.
Published: (2025)
by: Toledo, Edan, et al.
Published: (2025)
Assessing Superposition-Targeted Coverage Criteria for Quantum Neural Networks
by: Shao, Minqi, et al.
Published: (2024)
by: Shao, Minqi, et al.
Published: (2024)
CueLearner: Bootstrapping and local policy adaptation from relative feedback
by: Schiavi, Giulio, et al.
Published: (2025)
by: Schiavi, Giulio, et al.
Published: (2025)
The Impact of Bootstrap Sampling Rate on Random Forest Performance in Regression Tasks
by: Iwaniuk, Michał, et al.
Published: (2025)
by: Iwaniuk, Michał, et al.
Published: (2025)
Discovering Minimal Reinforcement Learning Environments
by: Liesen, Jarek, et al.
Published: (2024)
by: Liesen, Jarek, et al.
Published: (2024)
Behaviour Distillation
by: Lupu, Andrei, et al.
Published: (2024)
by: Lupu, Andrei, et al.
Published: (2024)
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
by: Samvelyan, Mikayel, et al.
Published: (2024)
by: Samvelyan, Mikayel, et al.
Published: (2024)
The Generalization Gap in Offline Reinforcement Learning
by: Mediratta, Ishita, et al.
Published: (2023)
by: Mediratta, Ishita, et al.
Published: (2023)
minimax: Efficient Baselines for Autocurricula in JAX
by: Jiang, Minqi, et al.
Published: (2023)
by: Jiang, Minqi, et al.
Published: (2023)
Bootstrap Latents of Nodes and Neighbors for Graph Self-Supervised Learning
by: Liu, Yunhui, et al.
Published: (2024)
by: Liu, Yunhui, et al.
Published: (2024)
DéjàQ: Open-Ended Evolution of Diverse, Learnable and Verifiable Problems
by: Röpke, Willem, et al.
Published: (2026)
by: Röpke, Willem, et al.
Published: (2026)
Self-Improvement for Neural Combinatorial Optimization: Sample without Replacement, but Improvement
by: Pirnay, Jonathan, et al.
Published: (2024)
by: Pirnay, Jonathan, et al.
Published: (2024)
Bootstrapping Post-training Signals for Open-ended Tasks via Rubric-based Self-play on Pre-training Text
by: Huang, Chengyu, et al.
Published: (2026)
by: Huang, Chengyu, et al.
Published: (2026)
Soft Condorcet Optimization for Ranking of General Agents
by: Lanctot, Marc, et al.
Published: (2024)
by: Lanctot, Marc, et al.
Published: (2024)
SC2Arena and StarEvolve: Benchmark and Self-Improvement Framework for LLMs in Complex Decision-Making Tasks
by: Shen, Pengbo, et al.
Published: (2025)
by: Shen, Pengbo, et al.
Published: (2025)
Coherence Mechanisms for Provable Self-Improvement
by: Mohri, Mehryar, et al.
Published: (2025)
by: Mohri, Mehryar, et al.
Published: (2025)
Space for Improvement: Navigating the Design Space for Federated Learning in Satellite Constellations
by: Kim, Grace, et al.
Published: (2024)
by: Kim, Grace, et al.
Published: (2024)
Deep Bootstrap
by: Chang, Jinyuan, et al.
Published: (2026)
by: Chang, Jinyuan, et al.
Published: (2026)
Depth-Width tradeoffs in Algorithmic Reasoning of Graph Tasks with Transformers
by: Yehudai, Gilad, et al.
Published: (2025)
by: Yehudai, Gilad, et al.
Published: (2025)
Asking the Right Questions: Improving Reasoning with Generated Stepping Stones
by: Hu, Hengyuan, et al.
Published: (2026)
by: Hu, Hengyuan, et al.
Published: (2026)
A Generative Approach for Semantic Auditing of Electronic Health Records
by: Girshovitz, Irena, et al.
Published: (2025)
by: Girshovitz, Irena, et al.
Published: (2025)
Scatter Correction in X-ray CT by Physics-Inspired Deep Learning
by: Iskender, Berk, et al.
Published: (2021)
by: Iskender, Berk, et al.
Published: (2021)
Self-Bootstrapping for Versatile Test-Time Adaptation
by: Niu, Shuaicheng, et al.
Published: (2025)
by: Niu, Shuaicheng, et al.
Published: (2025)
Adaptive Auto-Harness: Sustained Self-Improvement for Agentic System Deployment on Open-Ended Task Streams
by: Liu, Zewen, et al.
Published: (2026)
by: Liu, Zewen, et al.
Published: (2026)
The Interpretable and Effective Graph Neural Additive Networks
by: Bechler-Speicher, Maya, et al.
Published: (2024)
by: Bechler-Speicher, Maya, et al.
Published: (2024)
TREE-G: Decision Trees Contesting Graph Neural Networks
by: Bechler-Speicher, Maya, et al.
Published: (2022)
by: Bechler-Speicher, Maya, et al.
Published: (2022)
Multi-Action Self-Improvement for Neural Combinatorial Optimization
by: Luttmann, Laurin, et al.
Published: (2025)
by: Luttmann, Laurin, et al.
Published: (2025)
Smart Sampling: Self-Attention and Bootstrapping for Improved Ensembled Q-Learning
by: Khan, Muhammad Junaid, et al.
Published: (2024)
by: Khan, Muhammad Junaid, et al.
Published: (2024)
From Performance to Viability: A Bootstrap Framework for Latent-Space Representation Learning in Adaptive Biological Systems
by: Raynal, Jacques, et al.
Published: (2026)
by: Raynal, Jacques, et al.
Published: (2026)
Generative Data Refinement: Just Ask for Better Data
by: Jiang, Minqi, et al.
Published: (2025)
by: Jiang, Minqi, et al.
Published: (2025)
Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps
by: Ellis, Benjamin, et al.
Published: (2024)
by: Ellis, Benjamin, et al.
Published: (2024)
Context Bootstrapped Reinforcement Learning
by: Agashe, Saaket, et al.
Published: (2026)
by: Agashe, Saaket, et al.
Published: (2026)
Learning to Rewrite Prompts for Bootstrapping LLMs on Downstream Tasks
by: Zhou, Qinhao, et al.
Published: (2025)
by: Zhou, Qinhao, et al.
Published: (2025)
Similar Items
-
Neural Mean-Field Games: Extending Mean-Field Game Theory with Neural Stochastic Differential Equations
by: Thöni, Anna C. M., et al.
Published: (2025) -
The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements
by: Zhao, Bingchen, et al.
Published: (2025) -
Modelling Chemical Reaction Networks using Neural Ordinary Differential Equations
by: Thöni, Anna C. M., et al.
Published: (2025) -
Learning to Act without Actions
by: Schmidt, Dominik, et al.
Published: (2023) -
Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples
by: Jiralerspong, Marco, et al.
Published: (2023)