codezakh / DataEnvGymLinks
A testbed for agents and environments that can automatically improve models through data generation.
☆27Updated 9 months ago
Alternatives and similar repositories for DataEnvGym
Users that are interested in DataEnvGym are comparing it to the libraries listed below
Sorting:
- Official Code Repository for EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents (COLM 2024)☆39Updated last year
- ☆33Updated 11 months ago
- implementation of dualformer☆24Updated 9 months ago
- Multi-Agent Verification: Scaling Test-Time Compute with Multiple Verifiers☆24Updated 9 months ago
- The official implementation of Self-Exploring Language Models (SELM)☆63Updated last year
- [ICML 2025] Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples☆112Updated 4 months ago
- Learning from preferences is a common paradigm for fine-tuning language models. Yet, many algorithmic design decisions come into play. Ou…☆32Updated last year
- ☆51Updated 10 months ago
- Natural Language Reinforcement Learning☆100Updated 4 months ago
- ☆28Updated 9 months ago
- ☆52Updated 7 months ago
- ☆44Updated 5 months ago
- Official implementation of Regularized Policy Gradient (RPG) (https://arxiv.org/abs/2505.17508)☆58Updated 2 months ago
- CodeUltraFeedback: aligning large language models to coding preferences (TOSEM 2025)☆73Updated last year
- Code for Paper: Autonomous Evaluation and Refinement of Digital Agents [COLM 2024]☆147Updated last year
- B-STAR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners☆86Updated 6 months ago
- ☆107Updated last year
- Sotopia-π: Interactive Learning of Socially Intelligent Language Agents (ACL 2024)☆79Updated last year
- ☆65Updated 9 months ago
- A repository for research on medium sized language models.☆77Updated last year
- Official Repo for InSTA: Towards Internet-Scale Training For Agents☆55Updated 5 months ago
- Reinforcing General Reasoning without Verifiers☆92Updated 5 months ago
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆48Updated last year
- ☆117Updated 11 months ago
- Interpretable Contrastive Monte Carlo Tree Search Reasoning☆48Updated last year
- Co-LLM: Learning to Decode Collaboratively with Multiple Language Models☆123Updated last year
- Q-Probe: A Lightweight Approach to Reward Maximization for Language Models☆41Updated last year
- Code for "Reasoning to Learn from Latent Thoughts"☆123Updated 8 months ago
- ☆110Updated last year
- ☆34Updated 7 months ago