XanderJC / attention-based-credit
Code for the paper: Dense Reward for Free in Reinforcement Learning from Human Feedback (ICML 2024) by Alex J. Chan, Hao Sun, Samuel Holt, and Mihaela van der Schaar
☆22Updated 5 months ago
Alternatives and similar repositories for attention-based-credit:
Users that are interested in attention-based-credit are comparing it to the libraries listed below
- Rewarded soups official implementation☆55Updated last year
- Official implementation of "Direct Preference-based Policy Optimization without Reward Modeling" (NeurIPS 2023)☆41Updated 6 months ago
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆52Updated 3 months ago
- Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)☆24Updated last year
- Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems"☆53Updated 6 months ago
- Implementation of the paper "Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation"☆13Updated 3 months ago
- A repo for RLHF training and BoN over LLMs, with support for reward model ensembles.☆35Updated 2 weeks ago
- Guide Your Agent with Adaptive Multimodal Rewards (NeurIPS 2023 Accepted)☆33Updated last year
- [ACL'24] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization☆64Updated 5 months ago
- Advantage Leftover Lunch Reinforcement Learning (A-LoL RL): Improving Language Models with Advantage-based Offline Policy Gradients☆26Updated 4 months ago
- Implementation of ICML 2023 paper: Future-conditioned Unsupervised Pretraining for Decision Transformer☆27Updated last year
- Dateset Reset Policy Optimization☆28Updated 9 months ago
- This is code for most of the experiments in the paper Understanding the Effects of RLHF on LLM Generalisation and Diversity☆40Updated last year
- ☆28Updated last month
- Official PyTorch implementation of "Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning" (NeurIPS 20…☆31Updated 5 months ago
- Official code for "Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning".☆39Updated 9 months ago
- Official code repository for Prompt-DT.☆102Updated 2 years ago
- Implements the Messenger environment and EMMA model.☆23Updated last year
- ☆76Updated 6 months ago
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆15Updated 3 years ago
- Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024☆29Updated 5 months ago
- [ACL'24, Outstanding Paper] Emulated Disalignment: Safety Alignment for Large Language Models May Backfire!☆33Updated 5 months ago
- ☆29Updated 2 years ago
- Source codes for "Preference-grounded Token-level Guidance for Language Model Fine-tuning" (NeurIPS 2023).☆15Updated 3 weeks ago
- Exploring techniques to generate diverse conventions in multi-agent settings☆12Updated last year
- Code and data for the paper "Understanding Hidden Context in Preference Learning: Consequences for RLHF"☆28Updated last year
- Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)☆52Updated 3 years ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago
- Implemention of the Decision-Pretrained Transformer (DPT) from the paper Supervised Pretraining Can Learn In-Context Reinforcement Learni…☆57Updated 8 months ago
- Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)☆39Updated 4 years ago