aravindr93/mjrl
Reinforcement learning algorithms for MuJoCo tasks
Research Scientist at Microsoft AI. Prev: FAIR (Meta), University of Washington, and UC Berkeley.
Repositories
aravindr93/aravindr93.github.io
academic website
aravindr93/hand_dapg
Repository to accompany RSS 2018 paper on dexterous hand manipulation
aravindr93/RL-tasks
Solutions to various tasks using reinforcement learning and optimal control (trajectory optimization)
aravindr93/imaml_dev
Repo to accompany paper on Meta Learning with Implicit Gradients (NeurIPS 2019)
aravindr93/trajopt
Trajectory optimization algorithms for robotic control.
aravindr93/mjrl_dev
some development and utility scripts for mjrl
aravindr93/robustRL
Robust policy search algorithms which train on model ensembles
aravindr93/project-hack
collection of personal projects
aravindr93/ego4d_ssl
self supervised representation learning with Ego4D dataset
aravindr93/mj_envs
A collection of MuJoCo based environments.
aravindr93/MiniGPT-4
MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models
aravindr93/moco-clip
Adapting moco-v2 code for VLMs with a frozen sentence embedding model
aravindr93/mujoco-py
aravindr93/resources
Repository containing on-boarding instructions and various resources.
aravindr93/starter-hugo-academic
aravindr93/dmc2gym
OpenAI Gym wrapper for the DeepMind Control Suite
aravindr93/gps
Guided Policy Search
aravindr93/robel
ROBEL: Robotics Benchmarks for Learning with low-cost robots
aravindr93/Group-Normalization-Tensorflow
A TensorFlow implementation of Group Normalization on the task of image classification
aravindr93/sac-vision
aravindr93/cifar10_caffe
Caffe + CIFAR10