ttumiel / minRLHFLinks
Minimal RLHF implementation built on top of minGPT.
☆30Updated last year
Alternatives and similar repositories for minRLHF
Users that are interested in minRLHF are comparing it to the libraries listed below
Sorting:
- Implementation of ICLR 2025 paper "Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation"☆18Updated 11 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
- Official implementation of "Direct Preference-based Policy Optimization without Reward Modeling" (NeurIPS 2023)☆42Updated last year
- Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)☆28Updated last year
- Code for the paper: Dense Reward for Free in Reinforcement Learning from Human Feedback (ICML 2024) by Alex J. Chan, Hao Sun, Samuel Holt…☆37Updated last year
- ☆150Updated 9 months ago
- Advantage Leftover Lunch Reinforcement Learning (A-LoL RL): Improving Language Models with Advantage-based Offline Policy Gradients☆26Updated last year
- Dateset Reset Policy Optimization☆30Updated last year
- official implementation of ICLR'2025 paper: Rethinking Bradley-Terry Models in Preference-based Reward Modeling: Foundations, Theory, and…☆66Updated 5 months ago
- NeurIPS 2024 tutorial on LLM Inference☆48Updated 9 months ago
- Representation Learning in RL☆13Updated 3 years ago
- Code for Contrastive Preference Learning (CPL)☆175Updated 10 months ago
- A Gym for Generalist LLMs☆122Updated last week
- This is code for most of the experiments in the paper Understanding the Effects of RLHF on LLM Generalisation and Diversity☆46Updated last year
- Code and Configs for Asynchronous RLHF: Faster and More Efficient RL for Language Models☆63Updated 4 months ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆114Updated last year
- ☆34Updated 6 months ago
- Implementation of ICML 2023 paper: Future-conditioned Unsupervised Pretraining for Decision Transformer☆28Updated 2 years ago
- Code and data for the paper "Understanding Hidden Context in Preference Learning: Consequences for RLHF"☆30Updated last year
- ☆101Updated last year
- ICLR 2021: "Monte-Carlo Planning and Learning with Language Action Value Estimates"☆33Updated last year
- Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems"☆56Updated last year
- Fast reinforcement learning 💨☆26Updated 2 months ago
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆59Updated 11 months ago
- Complete Reinforcement Learning Toolkit for Large Language Models!☆20Updated last month
- Natural Language Reinforcement Learning☆97Updated last month
- ☆54Updated 10 months ago
- Code for "Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining"☆20Updated 5 months ago
- Domain-specific preference (DSP) data and customized RM fine-tuning.☆25Updated last year
- Reinforcement Learning via Regressing Relative Rewards☆36Updated 9 months ago