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[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)
MTM Masked Trajectory Models for Prediction, Representation, and Control.
The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization
Isaac Gym Reinforcement Learning Environments
SoftGym is a set of benchmark environments for deformable object manipulation.
💦 Seamless, distributed, real-time integration of Blender into PyTorch data pipelines
Code for "Untangling Dense Knots by Learning Task-Relevant Keypoints"
[CVPR'23] Hard Patches Mining for Masked Image Modeling
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)
Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning
[ICCV21] Official implementation of the "Social NCE: Contrastive Learning of Socially-aware Motion Representations" in PyTorch.
[ICRA'2024] Rethinking Imitation-based Planner for Autonomous Driving
Transform Frenet (s,d) to local Cartesian (x,y) coordinates.
[ICCV 2023 Oral] Game-theoretic modeling and learning of Transformer-based interactive prediction and planning
[CoRL'23] Parting with Misconceptions about Learning-based Vehicle Motion Planning
Python sample codes for robotics algorithms.
Code accompanying the paper "Learning Agile Robotic Locomotion Skills by Imitating Animals"
MSK Markdown is light markdown editor and viewer.