peract / peract_colab
Annotated Tutorial for PerAct
☆17Updated last year
Related projects ⓘ
Alternatives and complementary repositories for peract_colab
- ☆28Updated last year
- Code for Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations☆64Updated last year
- Code release for the paper "Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control"☆13Updated 7 months ago
- This code corresponds to transformer training and evaluation code used as part of the OPTIMUS project.☆51Updated last year
- ☆45Updated last year
- Official implementation for VIOLA☆115Updated last year
- Official PyTorch implementation of "Entity-Centric Reinforcement Learning for Object Manipulation from Pixels", Haramati et al., ICLR 202…☆22Updated 6 months ago
- Code for the paper "Policy Adaptation via Language Optimization: Decomposing Tasks for Few-Shot Imitation"☆24Updated last month
- Pytorch code for ICRA 2022 Paper StructFormer☆45Updated 2 years ago
- Official code for "QueST: Self-Supervised Skill Abstractions for Continuous Control" [NeurIPS 2024]☆36Updated last month
- ☆22Updated 3 years ago
- Collection of community-contributed robosuite task designs☆29Updated 2 years ago
- Chain-of-Thought Predictive Control☆55Updated last year
- (ICLR 2024) Reverse Forward Curriculum Learning☆37Updated 2 months ago
- Collection of MuJoCo robotics environments equipped with both vision and tactile sensing☆40Updated 4 months ago
- Official Code Repo for GENIMA☆54Updated last month
- PWM: Policy Learning with Large World Models☆37Updated 2 months ago
- NeurIPS 2022 Paper "VLMbench: A Compositional Benchmark for Vision-and-Language Manipulation"☆80Updated last year
- Temporally Correlated Episodic Reinforcement Learning, ICLR 24☆13Updated 7 months ago
- From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data☆51Updated last year
- ☆39Updated 5 months ago
- ☆41Updated 4 months ago
- ☆23Updated 4 years ago
- ☆18Updated last month
- [EMNLP 2023 (Findings)] This repository contains data processing, evaluation, and fine-tuning code for NEWTON: Are Large Language Models …☆32Updated last year
- SpawnNet: Learning Generalizable Visuomotor Skills from Pre-trained Networks☆35Updated 6 months ago
- Finetuning Offline World Models in the Real World☆47Updated last year
- ☆26Updated 10 months ago
- ☆22Updated 3 months ago
- Enabling robots to perform long-horizon dexterous tasks with imitation learning☆25Updated 7 months ago