Rewarded soups official implementation
☆62Sep 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:
- Code for the ICML 2024 paper "Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment"☆79Jun 10, 2025Updated 9 months ago
- 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☆21Sep 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 2 years ago
- Code for the paper "Learning Options via Compression" at NeurIPS 2022☆25Jan 11, 2023Updated 3 years 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.
- This is code for most of the experiments in the paper Understanding the Effects of RLHF on LLM Generalisation and Diversity☆48Jan 19, 2024Updated 2 years ago
- Directional Preference Alignment☆59Sep 23, 2024Updated last year
- ☆46Feb 8, 2024Updated 2 years ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Oct 6, 2021Updated 4 years ago
- [ICML 2024] Code for the paper "Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases"☆38Jul 12, 2024Updated last year
- Code and data for the paper "Understanding Hidden Context in Preference Learning: Consequences for RLHF"☆34Dec 14, 2023Updated 2 years ago
- Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"☆18Oct 21, 2022Updated 3 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
- 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.
- ☆63Jan 30, 2026Updated last month
- Predictable MDP Abstraction for Unsupervised Model-Based RL (ICML 2023)☆32Feb 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 2 years ago
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models☆67Dec 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☆118Oct 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.☆47Jan 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
- 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.
- 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.☆1,521Apr 24, 2025Updated 11 months ago
- RewardBench: the first evaluation tool for reward models.☆705Feb 16, 2026Updated last month
- ☆10Oct 11, 2022Updated 3 years ago
- Implementation of Robust Reinforcement Learning using Offline Data [NeurIPS'22]☆25Nov 9, 2024Updated last year
- Invariant Causal Prediction for Block MDPs☆44Jun 11, 2020Updated 5 years ago
- ☆28Jul 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
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- 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).☆364Dec 29, 2023Updated 2 years ago
- The code for paper "ProQA: Structural Prompt-based Pre-training for Unified Question Answering"☆11Feb 7, 2023Updated 3 years ago
- Advantage Leftover Lunch Reinforcement Learning (A-LoL RL): Improving Language Models with Advantage-based Offline Policy Gradients☆27Sep 10, 2024Updated last year
- ☆23Oct 20, 2023Updated 2 years ago
- Models, data, and codes for the paper: MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models☆24Sep 26, 2024Updated last year
- Test-time-training on nearest neighbors for large language models☆49Apr 18, 2024Updated last year