minaek / reward_design_with_llms
☆202Updated last year
Related projects ⓘ
Alternatives and complementary repositories for reward_design_with_llms
- We perform functional grounding of LLMs' knowledge in BabyAI-Text☆220Updated 2 months ago
- SmartPlay is a benchmark for Large Language Models (LLMs). Uses a variety of games to test various important LLM capabilities as agents. …☆121Updated 7 months ago
- Official code from the paper "Offline RL for Natural Language Generation with Implicit Language Q Learning"☆199Updated last year
- Lamorel is a Python library designed for RL practitioners eager to use Large Language Models (LLMs).☆195Updated 2 weeks ago
- ☆73Updated 4 months ago
- A benchmark for evaluating learning agents based on just language feedback☆58Updated last month
- Research Code for "ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL"☆108Updated 7 months ago
- [NeurIPS '23 Spotlight] Thought Cloning: Learning to Think while Acting by Imitating Human Thinking☆252Updated 4 months ago
- AdaPlanner: Language Models for Decision Making via Adaptive Planning from Feedback☆96Updated last year
- Code accompanying the paper Pretraining Language Models with Human Preferences☆177Updated 9 months ago
- Code for Contrastive Preference Learning (CPL)☆154Updated 9 months ago
- Official implementation of the DECKARD Agent from the paper "Do Embodied Agents Dream of Pixelated Sheep?"☆86Updated last year
- ScienceWorld is a text-based virtual environment centered around accomplishing tasks from the standardized elementary science curriculum.☆220Updated last month
- Chain-of-Hindsight, A Scalable RLHF Method☆220Updated last year
- Intrinsic Motivation from Artificial Intelligence Feedback☆119Updated last year
- Reasoning with Language Model is Planning with World Model☆145Updated last year
- Code for "Learning to Model the World with Language." ICML 2024 Oral.☆365Updated last year
- Data and code for the ICLR 2023 paper "Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning".☆145Updated 10 months ago
- Implementation of "Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agen…☆255Updated last year
- ☆137Updated 6 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…☆62Updated last year
- ☆121Updated 9 months ago
- SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks☆279Updated 3 weeks ago
- General multi-task deep RL Agent☆165Updated 5 months ago
- ☆90Updated 4 months ago
- ☆122Updated 2 weeks ago
- ☆105Updated 3 weeks ago
- The source code of the paper "Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Pla…☆77Updated 3 months ago
- Self-Alignment with Principle-Following Reward Models☆147Updated 8 months ago
- RL algorithm: Advantage induced policy alignment☆62Updated last year