princeton-nlp / lwmLinks
We develop world models that can be adapted with natural language. Intergrating these models into artificial agents allows humans to effectively control these agents through verbal communication.
☆24Updated last year
Alternatives and similar repositories for lwm
Users that are interested in lwm are comparing it to the libraries listed below
Sorting:
- This code accompanies the paper "Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration."☆28Updated 3 weeks ago
- [ICML 2024] Official code release accompanying the paper "diff History for Neural Language Agents" (Piterbarg, Pinto, Fergus)☆20Updated 10 months ago
- Repo to reproduce the First-Explore paper results☆37Updated 6 months ago
- Advantage Leftover Lunch Reinforcement Learning (A-LoL RL): Improving Language Models with Advantage-based Offline Policy Gradients☆26Updated 9 months ago
- VC-FB and MC-FB algorithms from "Zero-Shot Reinforcement Learning from Low Quality Data" (NeurIPS 2024)☆17Updated 5 months ago
- Official code for "Reward-Free Curricula for Training Robust World Models", ICLR 2024.☆28Updated last year
- [ICLR 2025] "Training LMs on Synthetic Edit Sequences Improves Code Synthesis" (Piterbarg, Pinto, Fergus)☆19Updated 4 months ago
- A testbed for agents and environments that can automatically improve models through data generation.☆24Updated 3 months ago
- ☆15Updated 2 years ago
- Official codebase for "Sampling For Learnability", published at NeurIPS 2024☆16Updated 3 weeks ago
- Learn online intrinsic rewards from LLM feedback☆40Updated 6 months ago
- ☆23Updated 9 months ago
- Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories☆42Updated last year
- Official Implementation of NeurIPS'23 Paper "Cross-Episodic Curriculum for Transformer Agents"☆31Updated last year
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆57Updated last year
- Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models☆58Updated 4 months ago
- LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations☆18Updated last month
- ☆34Updated 4 months ago
- (NeurIPS '22) LISA: Learning Interpretable Skill Abstractions - A framework for unsupervised skill learning using Imitation☆31Updated 2 years ago
- ☆12Updated 11 months ago
- ☆22Updated last month
- ☆65Updated last year
- ☆30Updated last year
- Repository for "Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics" …☆16Updated last year
- ☆95Updated 11 months ago
- Code for the paper "Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making"☆27Updated 11 months ago
- A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks☆33Updated 7 months ago
- ☆45Updated 11 months ago
- Code for LaMPP: Language Models as Probabilistic Priors for Perception and Action☆37Updated 2 years ago
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆58Updated 8 months ago