RewardBench: the first evaluation tool for reward models.
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Dec 11, 2024 - Python
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preference-learning
Here are 37 public repositories matching this topic...
Free and open source code of the https://tournesol.app platform. Meet the community on Discord https://discord.gg/WvcSG55Bf3
python youtube django reactjs django-rest-framework dataset recommendation-engine preference-learning social-choice ai-ethics bradley-terry-model golden-ratio-optimization preference-aggregation
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Dec 28, 2024 - Python
Explore concepts like Self-Correct, Self-Refine, Self-Improve, Self-Contradict, Self-Play, and Self-Knowledge, alongside o1-like reasoning elevation🍓 and hallucination alleviation🍄.
decoding self-improvement knowledge-distillation data-augmentation reasoning self-consistency preference-learning hallucination self-correction attention-head large-language-models chain-of-thought large-language-model internal-consistency self-feedback self-refine self-correct
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Dec 7, 2024 - Jupyter Notebook
The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)
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Dec 5, 2023 - Python
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.
machine-learning reinforcement-learning transformer preference-learning robot-navigation socially-aware-navigation
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Nov 9, 2024 - Python
Python-based GUI to collect Feedback of Chemist in Molecules
machine-learning drug-discovery human-in-the-loop preference-learning de-novo-drug-design generative-ai
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Oct 15, 2024 - Python
Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
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Jul 29, 2024 - Python
Code for the paper "Aligning LLM Agents by Learning Latent Preference from User Edits".
transformers alignment user-feedback edits interpretability preference-learning gpt4 llm llms human-feedback
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Nov 23, 2024 - Python
Official code for ICML 2024 paper, "RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences" (ICML 2024 Spotlight)
reinforcement-learning deep-learning robotics artificial-intelligence manipulation locomotion preference-learning reinforcement-learning-from-human-feedback
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Oct 15, 2024 - Python
PyTorch implementations for Offline Preference-Based RL (PbRL) algorithms
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Dec 26, 2024 - Python
Data and models for the paper "Configurable Safety Tuning of Language Models with Synthetic Preference Data"
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Jul 27, 2024 - Python
Code for "Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce Model" as published at CVPR 2021.
machine-learning deep-learning learning-to-rank cvpr weakly-supervised-learning preference-learning monocular-depth monocular-depth-estimation plackett-luce cvpr2021 relative-depth
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Feb 3, 2024 - Python
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.
machine-learning reinforcement-learning learning-from-demonstration preference-learning robot-navigation socially-aware-navigation
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Oct 17, 2022 - Python
Preference Learning with Gaussian Processes and Bayesian Optimization
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Aug 10, 2017 - Python
Java framework for Preference Learning
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Mar 5, 2018 - Java
A paper under AAAI-20 review
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Aug 27, 2019 - Python
[P]reference and [R]ule [L]earning algorithm implementation for Python 3 (https://arxiv.org/abs/1812.07895)
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Mar 17, 2019 - Python
Code for the project: "Analysis of Recommendation-systems based on User Preferences".
preferences booking user preferences-learning reccomender booking-system user-preferences preference-learning reccommendation reccomendersystem
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Mar 6, 2018 - Python
Code for the paper "Reward Design for Justifiable Sequential Decision-Making"; ICLR 2024
reinforcement-learning alignment preference-learning reward-design preference-based-reinforcement-learning
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Feb 27, 2024 - Jupyter Notebook
(AISTATS 2024) "Looping in the Human: Collaborative and Explainable Bayesian Optimization"
human-computer-interaction bayesian-optimization expert-advisors preference-learning human-in-the-loop-machine-learning
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Jul 22, 2024 - Jupyter Notebook
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