cassidylaidlaw / hidden-context
Code and data for the paper "Understanding Hidden Context in Preference Learning: Consequences for RLHF"
☆29Updated last year
Alternatives and similar repositories for hidden-context:
Users that are interested in hidden-context are comparing it to the libraries listed below
- Rewarded soups official implementation☆58Updated last year
- A repo for RLHF training and BoN over LLMs, with support for reward model ensembles.☆43Updated 3 months ago
- Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)☆28Updated last year
- ☆31Updated 4 months ago
- Representation Learning in RL☆16Updated 2 years ago
- Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems"☆55Updated 9 months ago
- ☆17Updated last year
- official implementation of ICLR'2025 paper: Rethinking Bradley-Terry Models in Preference-based Reward Modeling: Foundations, Theory, and…☆54Updated 3 weeks ago
- ☆31Updated last year
- Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…☆16Updated 5 months ago
- Official implementation of "Direct Preference-based Policy Optimization without Reward Modeling" (NeurIPS 2023)☆42Updated 9 months ago
- Implements the Messenger environment and EMMA model.☆23Updated last year
- [ACL'24] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization☆75Updated 8 months ago
- ☆30Updated 5 months ago
- ☆11Updated 2 years ago
- ☆40Updated last year
- Learning from preferences is a common paradigm for fine-tuning language models. Yet, many algorithmic design decisions come into play. Ou…☆28Updated last year
- Code and data for the paper "Understanding Hidden Context in Preference Learning: Consequences for RLHF"☆16Updated 8 months ago
- This is code for most of the experiments in the paper Understanding the Effects of RLHF on LLM Generalisation and Diversity☆43Updated last year
- Code for "Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining"☆11Updated last week
- Code for the ICML 2024 paper "Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment"☆66Updated 4 months ago
- Clean, extensible implementation of MACAW [ICML 2021]☆13Updated 3 years ago
- Tracking literature and additional online resources on transformers for sequential decision making including RL and beyond.☆45Updated 2 years ago
- ☆25Updated last year
- ☆11Updated 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…☆28Updated 8 months ago
- Implementation of ICML 2023 paper: Future-conditioned Unsupervised Pretraining for Decision Transformer☆27Updated last year
- Official PyTorch implementation of "Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning" (NeurIPS 20…☆32Updated 2 months ago
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆16Updated 3 years ago
- Code for the paper "VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment"☆151Updated 5 months ago