Rewarded soups official implementation
☆63Sep 27, 2023Updated 2 years ago
Alternatives and similar repositories for rewardedsoups
Users that are interested in rewardedsoups are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official code for "Decoding-Time Language Model Alignment with Multiple Objectives".☆29Oct 30, 2024Updated last year
- Code for the ICML 2024 paper "Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment"☆78Jun 10, 2025Updated last year
- Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023☆34Dec 7, 2024Updated last year
- Image-based gridworld experiment for learning Markov state abstractions☆20Sep 16, 2024Updated last year
- ICLR 2023 paper "Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness" by Yuancheng Xu, Yanchao Sun, Micah Gold…☆26May 2, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- This is code for most of the experiments in the paper Understanding the Effects of RLHF on LLM Generalisation and Diversity☆49Jan 19, 2024Updated 2 years ago
- Code for the paper "Learning Options via Compression" at NeurIPS 2022☆26Jan 11, 2023Updated 3 years ago
- Directional Preference Alignment☆62Sep 23, 2024Updated last year
- ☆46Feb 8, 2024Updated 2 years ago
- ☆284Jan 6, 2025Updated last year
- Code and data for the paper "Understanding Hidden Context in Preference Learning: Consequences for RLHF"☆34Dec 14, 2023Updated 2 years ago
- [ACL'24, Outstanding Paper] Emulated Disalignment: Safety Alignment for Large Language Models May Backfire!☆39Aug 2, 2024Updated last year
- Confidence Regulation Neurons in Language Models (NeurIPS 2024)☆15Feb 1, 2025Updated last year
- ☆64Jan 30, 2026Updated 4 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Predictable MDP Abstraction for Unsupervised Model-Based RL (ICML 2023)☆33Feb 6, 2023Updated 3 years ago
- [ICML 2023] "Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?" by Ruisi Cai, Zhenyu Zhang, Zhangyang Wang☆16May 4, 2023Updated 3 years ago
- Public Repo for the paper "Overcoming The Spectral-Bias of Neural Value Approximation"☆11May 25, 2024Updated 2 years ago
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models☆66Dec 10, 2024Updated last year
- Robust Reinforcement Learning Benchmark☆12Sep 22, 2024Updated last year
- Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging☆120Oct 23, 2023Updated 2 years ago
- Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"☆24Feb 15, 2023Updated 3 years ago
- A repo for RLHF training and BoN over LLMs, with support for reward model ensembles.☆48Jan 16, 2025Updated last year
- (NeurIPS '22) LISA: Learning Interpretable Skill Abstractions - A framework for unsupervised skill learning using Imitation☆29Feb 22, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆61Oct 6, 2024Updated last year
- Recipes to train reward model for RLHF.☆1,534Apr 24, 2025Updated last year
- ☆18Jan 3, 2022Updated 4 years ago
- ☆29Jul 16, 2024Updated last year
- This repo support auto line plot for multi-seed event file from TensorBoard☆12Jun 23, 2022Updated 3 years ago
- Optim4RL is a Jax framework of learning to optimize for reinforcement learning.☆28Nov 27, 2024Updated last year
- Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning☆11Jun 16, 2022Updated 3 years ago
- A large-scale, fine-grained, diverse preference dataset (and models).☆368Dec 29, 2023Updated 2 years ago
- Advantage Leftover Lunch Reinforcement Learning (A-LoL RL): Improving Language Models with Advantage-based Offline Policy Gradients☆27Sep 10, 2024Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆23Oct 20, 2023Updated 2 years ago
- Models, data, and codes for the paper: MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models☆25Sep 26, 2024Updated last year
- Test-time-training on nearest neighbors for large language models☆50Apr 18, 2024Updated 2 years ago
- ICLR'22 Programmatic Reinforcement Learning☆17Apr 15, 2023Updated 3 years ago
- ☆37Jun 16, 2021Updated 4 years ago
- ☆14Jun 13, 2022Updated 4 years ago
- [ICLR2024] (EvALign-ICL Benchmark) Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context …☆22Mar 1, 2024Updated 2 years ago