liziniu / policy_optimizationLinks
Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)
☆28Updated 2 years ago
Alternatives and similar repositories for policy_optimization
Users that are interested in policy_optimization are comparing it to the libraries listed below
Sorting:
- Rewarded soups official implementation☆62Updated 2 years ago
- This is code for most of the experiments in the paper Understanding the Effects of RLHF on LLM Generalisation and Diversity☆47Updated 2 years ago
- Domain-specific preference (DSP) data and customized RM fine-tuning.☆25Updated 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…☆38Updated last year
- Directional Preference Alignment☆58Updated last year
- Code for ACL2024 paper - Adversarial Preference Optimization (APO).☆56Updated last year
- A repo for RLHF training and BoN over LLMs, with support for reward model ensembles.☆46Updated last year
- An index of algorithms for reinforcement learning from human feedback (rlhf))☆92Updated last year
- ☆32Updated last year
- Source codes for "Preference-grounded Token-level Guidance for Language Model Fine-tuning" (NeurIPS 2023).☆17Updated last year
- Code and data for the paper "Understanding Hidden Context in Preference Learning: Consequences for RLHF"☆33Updated 2 years ago
- [ACL'24] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization☆96Updated 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 implementation of ICLR'2025 paper: Rethinking Bradley-Terry Models in Preference-based Reward Modeling: Foundations, Theory, and…☆70Updated 10 months ago
- ☆21Updated last year
- ☆46Updated 2 years ago
- Self-Supervised Alignment with Mutual Information☆20Updated last year
- Official code for "Decoding-Time Language Model Alignment with Multiple Objectives".☆29Updated last year
- Preprint: Asymmetry in Low-Rank Adapters of Foundation Models☆38Updated last year
- Official implementation of "Direct Preference-based Policy Optimization without Reward Modeling" (NeurIPS 2023)☆42Updated last year
- ICML 2024 - Official Repository for EXO: Towards Efficient Exact Optimization of Language Model Alignment☆57Updated last year
- Reference implementation for Token-level Direct Preference Optimization(TDPO)☆151Updated 11 months ago
- Code for NeurIPS 2024 paper "Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs"☆46Updated 11 months ago
- The code of paper "Toward Optimal LLM Alignments Using Two-Player Games".☆17Updated last year
- Official implementation of Bootstrapping Language Models via DPO Implicit Rewards☆47Updated 9 months ago
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision☆124Updated last year
- This is an official implementation of the paper ``Building Math Agents with Multi-Turn Iterative Preference Learning'' with multi-turn DP…☆32Updated last year
- Code for the ICML 2024 paper "Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment"☆79Updated 8 months ago
- ☆55Updated last year
- Implementation of ICLR 2025 paper "Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation"☆18Updated last year