OpenDFM / RemembererLinks
[NeurIPS 2023] Large Language Models Are Semi-Parametric Reinforcement Learning Agents
☆34Updated last year
Alternatives and similar repositories for Rememberer
Users that are interested in Rememberer are comparing it to the libraries listed below
Sorting:
- Research Code for "ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL"☆185Updated 3 months ago
- A collection of LLM with RL papers☆276Updated last year
- A comprehensive list of PAPERS, CODEBASES, and, DATASETS on Decision Making using Foundation Models including LLMs and VLMs.☆374Updated last year
- Code for Paper (ReMax: A Simple, Efficient and Effective Reinforcement Learning Method for Aligning Large Language Models)☆189Updated last year
- An index of algorithms for reinforcement learning from human feedback (rlhf))☆92Updated last year
- [NeurIPS 2023] We use large language models as commonsense world model and heuristic policy within Monte-Carlo Tree Search, enabling bett…☆280Updated 8 months ago
- code for paper Query-Dependent Prompt Evaluation and Optimization with Offline Inverse Reinforcement Learning☆41Updated last year
- Implementation of TWOSOME☆77Updated 6 months ago
- This is the repository that contains the source code for the Self-Evaluation Guided MCTS for online DPO.☆319Updated last year
- Benchmarking LLMs' Gaming Ability in Multi-Agent Environments☆85Updated 3 months ago
- Implementation of "Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agen…☆282Updated 2 years ago
- AdaPlanner: Language Models for Decision Making via Adaptive Planning from Feedback☆112Updated 4 months ago
- A large-scale multi-modal pre-trained model☆132Updated 2 years ago
- This repo is a live list of papers on game playing and large multimodality model - "A Survey on Game Playing Agents and Large Models: Met…☆150Updated 11 months ago
- Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents (ACL 2024 Main Conference)☆147Updated 9 months ago
- We perform functional grounding of LLMs' knowledge in BabyAI-Text☆268Updated 11 months ago
- This my attempt to create Self-Correcting-LLM based on the paper Training Language Models to Self-Correct via Reinforcement Learning by g…☆35Updated last month
- Code for ACL2024 paper - Adversarial Preference Optimization (APO).☆56Updated last year
- [ACL'24] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization☆85Updated 11 months ago
- ☆24Updated last year
- Reasoning with Language Model is Planning with World Model☆168Updated last year
- Reference implementation for Token-level Direct Preference Optimization(TDPO)☆146Updated 5 months ago
- Direct preference optimization with f-divergences.☆14Updated 9 months ago
- ☆33Updated last year
- Official code for the paper, "Stop Summation: Min-Form Credit Assignment Is All Process Reward Model Needs for Reasoning"☆132Updated 3 weeks ago
- Implementation of the ICML 2024 paper "Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning" pr…☆107Updated last year
- SmartPlay is a benchmark for Large Language Models (LLMs). Uses a variety of games to test various important LLM capabilities as agents. …☆140Updated last year
- [ICLR 2024 Spotlight] Code for the paper "Text2Reward: Reward Shaping with Language Models for Reinforcement Learning"☆172Updated 7 months ago
- An RL-Friendly Vision-Language Model for Minecraft☆33Updated 9 months ago
- ☆152Updated 7 months ago