minaek / reward_design_with_llmsLinks
☆220Updated 2 years ago
Alternatives and similar repositories for reward_design_with_llms
Users that are interested in reward_design_with_llms are comparing it to the libraries listed below
Sorting:
- 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
- ☆99Updated last year
- We perform functional grounding of LLMs' knowledge in BabyAI-Text☆268Updated 11 months ago
- AdaPlanner: Language Models for Decision Making via Adaptive Planning from Feedback☆112Updated 4 months ago
- Lamorel is a Python library designed for RL practitioners eager to use Large Language Models (LLMs).☆236Updated 9 months ago
- Code for Contrastive Preference Learning (CPL)☆174Updated 8 months ago
- An OpenAI gym environment to evaluate the ability of LLMs (eg. GPT-4, Claude) in long-horizon reasoning and task planning in dynamic mult…☆69Updated 2 years ago
- Official implementation of the DECKARD Agent from the paper "Do Embodied Agents Dream of Pixelated Sheep?"☆94Updated 2 years ago
- Official code from the paper "Offline RL for Natural Language Generation with Implicit Language Q Learning"☆208Updated 2 years ago
- Reasoning with Language Model is Planning with World Model☆168Updated last year
- Code for "Learning to Model the World with Language." ICML 2024 Oral.☆387Updated last year
- ☆143Updated last year
- ScienceWorld is a text-based virtual environment centered around accomplishing tasks from the standardized elementary science curriculum.☆280Updated 3 weeks ago
- ☆127Updated last year
- [NeurIPS '23 Spotlight] Thought Cloning: Learning to Think while Acting by Imitating Human Thinking☆268Updated last year
- Intrinsic Motivation from Artificial Intelligence Feedback☆130Updated last year
- Implementation of "Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agen…☆282Updated 2 years ago
- A RL approach to enable cost-effective, intelligent interactions between a local agent and a remote LLM☆78Updated 11 months ago
- A benchmark for evaluating learning agents based on just language feedback☆86Updated last month
- Research Code for "ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL"☆185Updated 3 months ago
- ☆109Updated last month
- Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR2023 Accepted)☆163Updated last year
- General multi-task deep RL Agent☆183Updated last year
- Unofficial Gato: A Generalist Agent☆214Updated last year
- Official implementation of "Direct Preference-based Policy Optimization without Reward Modeling" (NeurIPS 2023)☆42Updated last year
- Code accompanying the paper Pretraining Language Models with Human Preferences☆182Updated last year
- ☆137Updated 2 weeks ago
- Interpreting how transformers simulate agents performing RL tasks☆87Updated last year
- A continually updated list of literature on Reinforcement Learning from AI Feedback (RLAIF)☆177Updated last week
- Advantage Leftover Lunch Reinforcement Learning (A-LoL RL): Improving Language Models with Advantage-based Offline Policy Gradients☆26Updated 10 months ago