THUDM / AgentRLLinks
Scaling Agentic Reinforcement Learning with a Multi-Turn, Multi-Task Framework
☆205Updated 3 weeks ago
Alternatives and similar repositories for AgentRL
Users that are interested in AgentRL are comparing it to the libraries listed below
Sorting:
- SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis☆118Updated 8 months ago
- OpenRFT: Adapting Reasoning Foundation Model for Domain-specific Tasks with Reinforcement Fine-Tuning☆155Updated last year
- xVerify: Efficient Answer Verifier for Reasoning Model Evaluations☆143Updated 2 months ago
- 🔧Tool-Star: Empowering LLM-brained Multi-Tool Reasoner via Reinforcement Learning☆314Updated last month
- [R]einforcement [L]earning from [M]odel-rewarded [T]hinking - code for the paper "Language Models That Think, Chat Better"☆124Updated 3 months ago
- ☆432Updated 3 months ago
- ☆178Updated 2 months ago
- [AAAI 2026] Official codebase for "GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning".☆95Updated 3 months ago
- ☆333Updated 8 months ago
- Implementation for the research paper "Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision".☆55Updated last year
- [ICLR 2026] End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning☆353Updated 3 weeks ago
- ☆70Updated 7 months ago
- Extrapolating RLVR to General Domains without Verifiers☆196Updated 5 months ago
- A research repo for experiments about Reinforcement Finetuning☆54Updated 10 months ago
- Towards a Unified View of Large Language Model Post-Training☆200Updated 5 months ago
- ☆165Updated 3 months ago
- L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning☆261Updated 8 months ago
- A comrephensive collection of learning from rewards in the post-training and test-time scaling of LLMs, with a focus on both reward model…☆62Updated 7 months ago
- A Comprehensive Survey on Long Context Language Modeling☆226Updated 2 months ago
- Pre-trained, Scalable, High-performance Reward Models via Policy Discriminative Learning.☆164Updated 4 months ago
- MiroRL is an MCP-first reinforcement learning framework for deep research agent.☆229Updated 5 months ago
- A comprehensive collection of process reward models.☆136Updated 4 months ago
- ☆215Updated 11 months ago
- [ICLR 2026] PSFT is a trust-region–inspired fine-tuning objective that views SFT as a policy gradient method with constant advantages, co…☆34Updated 5 months ago
- Official code for the paper, "Stop Summation: Min-Form Credit Assignment Is All Process Reward Model Needs for Reasoning"☆154Updated 3 months ago
- The official repo of "WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents"☆101Updated 4 months ago
- [ACL 2024] The official codebase for the paper "Self-Distillation Bridges Distribution Gap in Language Model Fine-tuning".☆145Updated last year
- ☆182Updated 9 months ago
- This is the repository of DEER, a Dynamic Early Exit in Reasoning method for Large Reasoning Language Models.☆180Updated 7 months ago
- RM-R1: Unleashing the Reasoning Potential of Reward Models☆158Updated 7 months ago