Models
Datasets
Spaces
Docs
Enterprise
Pricing
Log In
Sign Up

Collections

Discover the best community collections!

Collections including paper arxiv:2507.19849

Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 141
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 136
Learning to Reason under Off-Policy Guidance

Paper • 2504.14945 • Published Apr 21 • 88

a collection of algorithmic agents for user interfaces/interactions, program synthesis, and robotics

End-to-End Goal-Driven Web Navigation

Paper • 1602.02261 • Published Feb 6, 2016
Learning Language Games through Interaction

Paper • 1606.02447 • Published Jun 8, 2016
Naturalizing a Programming Language via Interactive Learning

Paper • 1704.06956 • Published Apr 23, 2017
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration

Paper • 1802.08802 • Published Feb 24, 2018 • 1

Agentic Reinforced Policy Optimization

Paper • 2507.19849 • Published Jul 26 • 156

Finetuning Strategies

MaPPO: Maximum a Posteriori Preference Optimization with Prior Knowledge

Paper • 2507.21183 • Published Jul 27 • 14
MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE

Paper • 2507.21802 • Published Jul 29 • 16
EDGE-GRPO: Entropy-Driven GRPO with Guided Error Correction for Advantage Diversity

Paper • 2507.21848 • Published Jul 29 • 8
Agentic Reinforced Policy Optimization

Paper • 2507.19849 • Published Jul 26 • 156

Daily high rank paper

Agentic Reinforced Policy Optimization

Paper • 2507.19849 • Published Jul 26 • 156
Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance

Paper • 2507.22448 • Published Jul 30 • 65
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Paper • 2508.18265 • Published Aug 25 • 207
R-4B: Incentivizing General-Purpose Auto-Thinking Capability in MLLMs via Bi-Mode Annealing and Reinforce Learning

Paper • 2508.21113 • Published Aug 28 • 109

RL+reason model

RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24 • 28
Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28 • 123
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Paper • 2412.12098 • Published Dec 16, 2024 • 4

Agentic Reinforced Policy Optimization

Paper • 2507.19849 • Published Jul 26 • 156
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use

Paper • 2510.05592 • Published Oct 7 • 102

Agentic Reinforced Policy Optimization

Paper • 2507.19849 • Published Jul 26 • 156

GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning

Paper • 2507.19457 • Published Jul 25 • 28
Agentic Reinforced Policy Optimization

Paper • 2507.19849 • Published Jul 26 • 156
Group Sequence Policy Optimization

Paper • 2507.18071 • Published Jul 24 • 310
Cache-to-Cache: Direct Semantic Communication Between Large Language Models

Paper • 2510.03215 • Published Oct 3 • 95

Agentic Reinforced Policy Optimization

Paper • 2507.19849 • Published Jul 26 • 156
The Geometry of LLM Quantization: GPTQ as Babai's Nearest Plane Algorithm

Paper • 2507.18553 • Published Jul 24 • 40

Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 141
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 136
Learning to Reason under Off-Policy Guidance

Paper • 2504.14945 • Published Apr 21 • 88

RL+reason model

RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24 • 28
Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28 • 123
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Paper • 2412.12098 • Published Dec 16, 2024 • 4

a collection of algorithmic agents for user interfaces/interactions, program synthesis, and robotics

End-to-End Goal-Driven Web Navigation

Paper • 1602.02261 • Published Feb 6, 2016
Learning Language Games through Interaction

Paper • 1606.02447 • Published Jun 8, 2016
Naturalizing a Programming Language via Interactive Learning

Paper • 1704.06956 • Published Apr 23, 2017
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration

Paper • 1802.08802 • Published Feb 24, 2018 • 1

Agentic Reinforced Policy Optimization

Paper • 2507.19849 • Published Jul 26 • 156
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use

Paper • 2510.05592 • Published Oct 7 • 102

Agentic Reinforced Policy Optimization

Paper • 2507.19849 • Published Jul 26 • 156

Agentic Reinforced Policy Optimization

Paper • 2507.19849 • Published Jul 26 • 156

Finetuning Strategies

MaPPO: Maximum a Posteriori Preference Optimization with Prior Knowledge

Paper • 2507.21183 • Published Jul 27 • 14
MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE

Paper • 2507.21802 • Published Jul 29 • 16
EDGE-GRPO: Entropy-Driven GRPO with Guided Error Correction for Advantage Diversity

Paper • 2507.21848 • Published Jul 29 • 8
Agentic Reinforced Policy Optimization

Paper • 2507.19849 • Published Jul 26 • 156

GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning

Paper • 2507.19457 • Published Jul 25 • 28
Agentic Reinforced Policy Optimization

Paper • 2507.19849 • Published Jul 26 • 156
Group Sequence Policy Optimization

Paper • 2507.18071 • Published Jul 24 • 310
Cache-to-Cache: Direct Semantic Communication Between Large Language Models

Paper • 2510.03215 • Published Oct 3 • 95

Daily high rank paper

Agentic Reinforced Policy Optimization

Paper • 2507.19849 • Published Jul 26 • 156
Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance

Paper • 2507.22448 • Published Jul 30 • 65
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Paper • 2508.18265 • Published Aug 25 • 207
R-4B: Incentivizing General-Purpose Auto-Thinking Capability in MLLMs via Bi-Mode Annealing and Reinforce Learning

Paper • 2508.21113 • Published Aug 28 • 109

Agentic Reinforced Policy Optimization

Paper • 2507.19849 • Published Jul 26 • 156
The Geometry of LLM Quantization: GPTQ as Babai's Nearest Plane Algorithm

Paper • 2507.18553 • Published Jul 24 • 40

Previous
1
2
3
Next

Company

TOS Privacy About Jobs

Website

Models Datasets Spaces Pricing Docs