Stars
Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer https://arxiv.org/abs/2404.05695
Best practices, conventions, and tricks for ROS
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
A Collection of Variational Autoencoders (VAE) in PyTorch.
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
Repository to accompany RSS 2018 paper on dexterous hand manipulation
Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.
Scalable Multi-Agent RL Training School for Autonomous Driving
OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones su…
A PyTorch Library for Accelerating 3D Deep Learning Research
Google Research
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
Burgess et al. "MONet: Unsupervised Scene Decomposition and Representation"
Implementations of Reinforcement Learning and Planning algorithms
End-to-end Autonomous Driving Perception with Sequential Latent Representation Learning
Open-source simulator for autonomous driving research.
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
A variational recurrent neural network implementation in tensorflow
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
A selection of state-of-the-art research materials on trajectory prediction
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.