preference-learning

tournesol-app/tournesol

Free and open source code of the https://tournesol.app platform. Meet the community on Discord https://discord.gg/WvcSG55Bf3

IAAR-Shanghai/ICSFSurvey

Explore concepts like Self-Correct, Self-Refine, Self-Improve, Self-Contradict, Self-Play, and Self-Knowledge, alongside o1-like reasoning elevation🍓 and hallucination alleviation🍄.

liushunyu/awesome-direct-preference-optimization

A Survey of Direct Preference Optimization (DPO)

qxcv/magical

The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)

SMARTlab-Purdue/SAN-NaviSTAR

This repository contains the source code for our paper: "NaviSTAR: Socially Aware Robot Navigation with Hybrid Spatio-Temporal Graph Transformer and Preference Learning". For more details, please refer to our project website at https://sites.google.com/view/san-navistar.

JanoschMenke/metis

Python-based GUI to collect Feedback of Chemist in Molecules

sail-sg/dice

Official implementation of Bootstrapping Language Models via DPO Implicit Rewards

gao-g/prelude

Code for the paper "Aligning LLM Agents by Learning Latent Preference from User Edits".

CJReinforce/RIME_ICML2024

Official code for ICML 2024 paper, "RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences" (ICML 2024 Spotlight)

typoverflow/WiseRL

PyTorch implementations for Offline Preference-Based RL (PbRL) algorithms

vicgalle/configurable-safety-tuning

Data and models for the paper "Configurable Safety Tuning of Language Models with Synthetic Preference Data"

julilien/PLDepth

Code for "Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce Model" as published at CVPR 2021.

zwhong714/weak-to-strong-preference-optimization

[ICLR 2025 Spotlight] Weak-to-strong preference optimization: stealing reward from weak aligned model

SMARTlab-Purdue/SAN-FAPL

This repository contains the source code for our paper: "Feedback-efficient Active Preference Learning for Socially Aware Robot Navigation", accepted to IROS-2022. For more details, please refer to our project website at https://sites.google.com/view/san-fapl.

aaronpmishkin/gaussian_processes

Preference Learning with Gaussian Processes and Bayesian Optimization

huixin-zhan-ai/GAN-Assisted-Preference-Based-Learning

A paper under AAAI-20 review

Intelligent-Systems-Group/jpl-framework

Java framework for Preference Learning

albiboni/User-RecSys

Code for the project: "Analysis of Recommendation-systems based on User Preferences".

aleksa-sukovic/iclr2024-reward-design-for-justifiable-rl

Code for the paper "Reward Design for Justifiable Sequential Decision-Making"; ICLR 2024

makgyver/PRL

[P]reference and [R]ule [L]earning algorithm implementation for Python 3 (https://arxiv.org/abs/1812.07895)

benki-finance/finbench-arena

An open platform for benchmarking LLMs for financial services use cases. Forked from Vicuna and Chatbot Arena.

lasgroup/MaxMinLCB

Code for our paper "Bandits with Preference Feedback: A Stackelberg Game Perspective"

ma921/CoExBO

(AISTATS 2024) "Looping in the Human: Collaborative and Explainable Bayesian Optimization"

Bekyilma/Master_thesis

Constructive Preference Elicitation for Social Choice With Setwise max-margin Learning.

LemurPwned/bradley-terry-ui

UI for straightforward Bradley-Terry feedback loop

mahmadif/able2rank

Rahgooy/MDFT

In this project, we design a recurrent neural network to simulate a cognitive model of decision-making called Multi Alternative Decision Field Theory (MDFT). We train this RNN to learn the parameters of MDFT.

smiley-maker/VAE-Preference-Learning

In this work I create a variational auto-encoder to create trajectory query pairs for active preference learning of terrain costs for robot navigation.

FareedKhan-dev/APReL-Mountain-Car-Reinforcement-Learning

APReL: Active preference-based reward learning for human-robot interaction. Utilizing "Mountain Car" environment, learn from human preferences to reach the goal state. Applications in robotics and adaptability to other learning methods.

jimparr19/pypbl

Python library for preference based learning

sebastianmihai01/Deep-Intel

Autonomous Logistics, Statistics and Marketing Analysis

Dev1nW/Simplified-Rating-and-Preference-RL

Simplified, modern implementation of Rating and Preference-based Reinforcement Learning.

Seninfarheen/Senior-Sage

A conversational assistant designed to support elderly individuals with reminders, health questions, and personalized preferences using advanced LLM capabilities.

martimfasantos/CustomPOs-for-SLMs

Novel Preference Optimization Algorithms for state-of-the-art small LMs, enhancing performance in GenAI and NLP tasks

PeymanMorteza/Metric-Preference-Learning-RKHS

Metric and Preference Learning in Reproducing Kernel Hilbert Spaces