Lists (4)
Sort Name ascending (A-Z)
Stars
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
A Mujoco-based simulation platform for humanoid robots with a 3-tier architecture, supporting imitation and reinforcement learning, and featuring trajectory visualization for efficient R&D.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse m…
MultiBody Dynamics Estimators: Particle filter and factor-graph estimators
Reinforcement learning environments with musculoskeletal models
DynSyn: Dynamical Synergistic Representation for Efficient Learning and Control in Overactuated Embodied Systems
erwincoumans / DeepMimic
Forked from xbpeng/DeepMimicMotion imitation with deep reinforcement learning.
Official Implementation of the ICCV 2023 paper: Perpetual Humanoid Control for Real-time Simulated Avatars
Repository for our ICLR 2023 paper: DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems
SimTK OpenSim C++ libraries and command-line applications, and Java/Python wrapping.
SimTK OpenSim models (.osim) and related example files that are distributed with OpenSim.
MyoChallenge 23 -- Towards Human-Level Dexterity and Agility
Imitation learning benchmark focusing on complex locomotion tasks using MuJoCo.
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
The official PyTorch implementation of the paper "Human Motion Diffusion Model"
zalo / mujoco_wasm
Forked from stillonearth/MuJoCo-WASMSimulate and Render MuJoCo Models in the Browser!
A collection of reference environments for offline reinforcement learning
The official implementation of the paper "Reinforcement Learning-Based Motion Imitation for Physiologically Plausible Musculoskeletal Motor Control"