Name: Cognitive Learning for Vision and Robotics (CLVR) lab @ KAIST
Type: Organization
Bio: Learning and Reasoning for Artificial Intelligence, especially focused on perception and action. Led by Professor Joseph J. Lim @ KAIST
Location: Korea, South
Blog: https://clvrai.com/
Cognitive Learning for Vision and Robotics (CLVR) lab @ KAIST's Projects
Official implementation of "Know Your Action Set: Learning Action Relations for Reinforcement Learning", Jain et al., ICLR 2022.
A Tensorflow implementation of BicycleGAN.
Code for the paper Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance, accepted to CoRL 2023 as an Oral Presentation.
Official release of the CLVR Jaco Play Dataset, Dass et al. 2023
Learning to Coordinate Manipulation Skills via Skill Behavior Diversification (ICLR 2020)
CREATE Environment for long-horizon physics-puzzle tasks with diverse tools
A Tensorflow implementation of Cycle-Consistent Adversarial Networks.
A Tensorflow implementation of DiscoGAN.
A Tensorflow implementation of Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
FurnitureBench: Real-World Furniture Assembly Benchmark (RSS 2023)
Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research
Generalizable Imitation Learning from Observation via Inferring Goal Proximity (NeurIPS 2021)
Imagination Augmented Agents in TensorFlow
Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding (RSS 2021)
Code for Learning to Synthesize Programs as Interpretable and Generalizable Policies in NeurIPS 2021
Tensorflow Implementation of MAML
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation (CoRL 2021)
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments (CoRL 2020)
Official implementation of "Assisted Teleoperation for Scalable Robot Data Collection", Dass et al. 2022
Tensorflow implementations of Relational Networks and a VQA dataset named Sort-of-CLEVR proposed by DeepMind.
A Tensorflow implementation of Representation Learning by Learning to Count
Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization (CoRL 2021)
Skill-based Model-based Reinforcement Learning (CoRL 2022)
Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020
Code and website for for SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling