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pybullet-planning

PyBullet Planning

pybullet_planning

A suite of utility functions to facilitate robotic planning related research on the pybullet physics simulation engine.

pybullet_robots

Prototyping robots for PyBullet (F1/10 MIT Racecar, Sawyer, Baxter and Dobot arm, Boston Dynamics Atlas and Botlab environment)

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

rl-baselines-zoo

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

rl-baselines3-zoo

A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.

rl-detect-and-denoise-defense

[ECML 22'] Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising

robogrammar

RoboGrammar: Graph Grammar for Terrain-Optimized Robot Design (SIGGRAPH Asia 2020)

robotdesign

safe-reinforcement-learning-baselines

The repository is for safe reinforcement learning baselines.

safe_learning

Safe reinforcement learning with stability guarantees

safety-gym

Tools for accelerating safe exploration research.

safety-starter-agents

Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.

schrl-1

Constrained Hierarchical Deep Reinforcement Learning with Differentiable Formal Specifications

spectrl_tool

Learning algorithm implementation and experiments in the paper "A Composable Specification Language for Reinforcement Learning Tasks" (https://arxiv.org/abs/2008.09293).

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

stable-baselines3-contrib

Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code

stl-mobile-robot

Turn STL formulas into maps and planed paths, control robots with DRL controllers.

tiny-differentiable-simulator

Tiny Differentiable Simulator is a header-only C++ and CUDA physics library for reinforcement learning and robotics with zero dependencies.

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

toyrlalgorithms

tuplan_garage

[CoRL'23] Parting with Misconceptions about Learning-based Vehicle Motion Planning

two-d-nav-gym

Pure-python-based, lightweight 2d-navigation environments.

vectornet

Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”

visualize_atari

Code for our paper "Visualizing and Understanding Atari Agents" (https://goo.gl/AMAoSc)

vrl_codereview

[PLDI 19'] An Inductive Synthesis Framework for Verifiable Reinforcement Learning