ManifoldRG / NEKO
In Progress Implementation of GATO style Generalist Multimodal model capable of image, text, RL and Robotics tasks
☆48Updated 9 months ago
Alternatives and similar repositories for NEKO:
Users that are interested in NEKO are comparing it to the libraries listed below
- ☆24Updated this week
- Efficient World Models with Context-Aware Tokenization. ICML 2024☆97Updated 6 months ago
- AgentHive provides the primitives and helpers for a seamless usage of robohive within TorchRL.☆33Updated last year
- DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control☆102Updated 5 months ago
- Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models☆54Updated last month
- Official implementation of the DECKARD Agent from the paper "Do Embodied Agents Dream of Pixelated Sheep?"☆91Updated last year
- Pytorch implementation of the Gato paper from Deepmind☆13Updated 2 years ago
- This code accompanies the paper "Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration."☆27Updated 5 months ago
- [CoRL 2024] Official code for "Scaling Robot Policy Learning via Zero-Shot Labeling with Foundation Models"☆21Updated 4 months ago
- Multi-Modal Multi-Embodied Hivemind-like Iteration of RTX-2☆16Updated 5 months ago
- [NeurIPS 2024] GenRL: Multimodal-foundation world models enable grounding language and video prompts into embodied domains, by turning th…☆73Updated 2 weeks ago
- Implementation of AutoRT: "AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents"☆39Updated 5 months ago
- Code for the ICLR 2024 spotlight paper: "Learning to Act without Actions" (introducing Latent Action Policies)☆95Updated 8 months ago
- Public code for "Reinforcement Learning from Passive Data via Latent Intentions"☆89Updated last year
- Official Implementation of NeurIPS'23 Paper "Cross-Episodic Curriculum for Transformer Agents"☆31Updated last year
- Galactic Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second☆83Updated last year
- Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024☆64Updated 10 months ago
- We develop world models that can be adapted with natural language. Intergrating these models into artificial agents allows humans to effe…☆22Updated last year
- A web-based tool to collect human data from simulated environments.☆32Updated 3 years ago
- Using advances in generative modeling to learn reward functions from unlabeled videos.☆129Updated last year
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆85Updated last week
- ☆75Updated 7 months ago
- a simple and scalable agent for training adaptive policies with sequence-based RL☆118Updated last week
- Code for "Hierarchical World Models as Visual Whole-Body Humanoid Controllers"☆170Updated 9 months ago
- Implementation of Soft Actor Critic and some of its improvements in Pytorch☆55Updated 2 months ago
- Minimal code for A Generalist Agent☆39Updated 2 years ago
- ☆74Updated last year
- Implementation of Diffusion Policy, Toyota Research's supposed breakthrough in leveraging DDPMs for learning policies for real-world Robo…☆106Updated 9 months ago
- A vast array of Multi-Modal Embodied Robotic Foundation Models!☆27Updated last year
- General multi-task deep RL Agent☆179Updated 10 months ago