vvanirudh Goto Github PK

gpy

Gaussian processes framework in python

gym-kuka-mujoco

An OpenAI gym environment for the Kuka arm.

handful-of-trials

Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

helloworld

Helloworld programs in different languages,pull requests are welcome :)

heuristic-guided-rrt-star

Heuristic guided RRT* from the report "Learning Motion Planning Assumptions"

ilc.jl

ilqr

Iterative LQR for a differential drive robot C++

imitation-learning-gym

importance-sampling

Code for experiments regarding importance sampling for training neural networks

insti-noticeboard

Compiling institute events calender using event mails

iq-learn

(NeurIPS '21 Spotlight) IQ-Learn: Inverse Q-Learning for Imitation

ir-models

Basic Information Retrieval models implemented (with Ontology-based model as well)

irl-papers

Papers relevant to Inverse Reinforcement learning/ Inverse Optimal Control/ Apprenticeship learning

irl-toolkit

IRL Toolkit developed by Sergey Levine (Taken from https://graphics.stanford.edu/projects/gpirl/)

irl-world

Python package for IRL worlds

iros2020_changkyu

A Probabilistic Model for Planar Sliding of Objects with Unknown Material Properties

kgp

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

l4-optimizer

Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"

lagrangian-rl

Experiments for the paper A Lagrangian Method for Inverse Problems in Reinforcement Learning.

lamps-mbrl

latex-templates

A repository to store all latex templates I use

lcp-physics

A differentiable LCP physics engine in PyTorch.

lightnet

list_prediction_motion_planning

Forked from the bitbucket repo: https://bitbucket.org/sanjiban/list_prediction_motion_planning

lqr_ilqr_mpc

matthew-irl

My version of the github repo https://github.com/MatthewJA/Inverse-Reinforcement-Learning by Matthew

mbpo

Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"

mml

Minimax Model Learning

models

Models built with TensorFlow

mujoco-py

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.