jinpz / q_sharpLinks
The official code release for Q#: Provably Optimal Distributional RL for LLM Post-Training
☆18Updated 11 months ago
Alternatives and similar repositories for q_sharp
Users that are interested in q_sharp are comparing it to the libraries listed below
Sorting:
- Official implementation of "Direct Preference-based Policy Optimization without Reward Modeling" (NeurIPS 2023)☆42Updated last year
- ☆110Updated last year
- Learning diverse options through the Laplacian representation.☆23Updated 2 years ago
- Implementation of ICLR 2025 paper "Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation"☆18Updated last year
- Learn online intrinsic rewards from LLM feedback☆45Updated last year
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆61Updated last year
- ☆14Updated last year
- ☆67Updated 11 months ago
- Rewarded soups official implementation☆62Updated 2 years ago
- Drop-in environment replacements that make your RL algorithm train faster.☆21Updated last year
- ☆32Updated last year
- Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024☆28Updated last year
- We develop world models that can be adapted with natural language. Intergrating these models into artificial agents allows humans to effe…☆25Updated last year
- Python library for solving reinforcement learning (RL) problems using generative models.☆11Updated 11 months ago
- Code for the paper: Dense Reward for Free in Reinforcement Learning from Human Feedback (ICML 2024) by Alex J. Chan, Hao Sun, Samuel Holt…☆38Updated last year
- Code for the paper "VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment"☆185Updated 8 months ago
- ☆21Updated 8 months ago
- ☆16Updated last year
- The official implementations of Intention-conditioned Flow Occupancy Models (InFOM)☆29Updated last month
- This code accompanies the paper "Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration."☆36Updated 6 months ago
- XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning - - — ICLR 2025☆81Updated 11 months ago
- Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models☆66Updated 11 months ago
- Verlog: A Multi-turn RL framework for LLM agents☆67Updated 3 weeks ago
- [ICLR 2025] "Training LMs on Synthetic Edit Sequences Improves Code Synthesis" (Piterbarg, Pinto, Fergus)☆19Updated 11 months ago
- Dateset Reset Policy Optimization☆31Updated last year
- Implementations of Multi-Task and Meta-Learning baselines for the Metaworld benchmark☆32Updated 5 months ago
- Uni-RLHF platform for "Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback" (ICLR2024…☆42Updated last year
- Learning from preferences is a common paradigm for fine-tuning language models. Yet, many algorithmic design decisions come into play. Ou…☆32Updated last year
- Official codebase for "Sampling For Learnability", published at NeurIPS 2024☆20Updated 3 months ago
- ☆41Updated 2 years ago