mansicer / Q-AdapterLinks
Implementation of ICLR 2025 paper "Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation"
☆18Updated last year
Alternatives and similar repositories for Q-Adapter
Users that are interested in Q-Adapter are comparing it to the libraries listed below
Sorting:
- Official implementation of "Direct Preference-based Policy Optimization without Reward Modeling" (NeurIPS 2023)☆42Updated 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…☆37Updated last year
- Implementation of ICML 2023 paper: Future-conditioned Unsupervised Pretraining for Decision Transformer☆28Updated 2 years ago
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆61Updated last year
- Uni-RLHF platform for "Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback" (ICLR2024…☆41Updated last year
- Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)☆28Updated last year
- Official codebase for CuGRO: Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay☆32Updated last year
- Offline RLHF codebase implementation for "Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human …☆41Updated last year
- Exploring techniques to generate diverse conventions in multi-agent settings☆15Updated 2 years ago
- Minimal RLHF implementation built on top of minGPT.☆30Updated last year
- Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems"☆57Updated last year
- ☆38Updated last year
- ☆89Updated 3 years ago
- Dateset Reset Policy Optimization☆31Updated last year
- Official code for "Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning".☆53Updated last year
- Rewarded soups official implementation☆62Updated 2 years ago
- PyTorch implementations for Offline Preference-Based RL (PbRL) algorithms☆21Updated 7 months ago
- Guide Your Agent with Adaptive Multimodal Rewards (NeurIPS 2023 Accepted)☆33Updated 2 years ago
- ☆33Updated last year
- code for the paper Offline Prioritized Experience Replay☆13Updated 2 years ago
- Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024☆28Updated last year
- Learning from preferences is a common paradigm for fine-tuning language models. Yet, many algorithmic design decisions come into play. Ou…☆32Updated last year
- Xenoverse is a collection of randomized RL, Language, and general-purpose simulation environments, designed for training General-Purpose …☆18Updated last week
- Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR2023 Accepted)☆164Updated 2 years ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago
- ☆10Updated 3 years ago
- Advantage Leftover Lunch Reinforcement Learning (A-LoL RL): Improving Language Models with Advantage-based Offline Policy Gradients☆26Updated last year
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆18Updated 3 years ago
- Implementation of the Off Belief Learning algorithm.☆49Updated 3 years ago
- The official code release for Q#: Provably Optimal Distributional RL for LLM Post-Training☆17Updated 8 months ago