Pinned Repositories
6.036
MIT Introduction to Machine Learning
6.036-1
Homework solutions of Intro to ML course at MIT Spring 2018
6.036_Machine_Learning
Repo for MIT 6.036 Machine Learning
AirsimDRL
Autonomous UAV Navigation without Collision using Visual Information in Airsim
cs287-advanced-robotics
Optimal Control, Reinforcement Learning & Robotics Projects in CS 287: Advanced Robotics (fall 2019)
DDPG
Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow
DDPG-1
reimplementation of the ddpg algorithm using tensorflow
DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
hypersonic-reentry
Trajectory optimization of hypersonic reentry vehicle
simupy-flight
ParthaShuvro's Repositories
ParthaShuvro/hypersonic-reentry
Trajectory optimization of hypersonic reentry vehicle
ParthaShuvro/simupy-flight
ParthaShuvro/6.036
MIT Introduction to Machine Learning
ParthaShuvro/6.036-1
Homework solutions of Intro to ML course at MIT Spring 2018
ParthaShuvro/6.036_Machine_Learning
Repo for MIT 6.036 Machine Learning
ParthaShuvro/AirsimDRL
Autonomous UAV Navigation without Collision using Visual Information in Airsim
ParthaShuvro/cs287-advanced-robotics
Optimal Control, Reinforcement Learning & Robotics Projects in CS 287: Advanced Robotics (fall 2019)
ParthaShuvro/DDPG
Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow
ParthaShuvro/DDPG-1
reimplementation of the ddpg algorithm using tensorflow
ParthaShuvro/DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
ParthaShuvro/EDL-Py
Aerospace engineering research in Python
ParthaShuvro/gym
A toolkit for developing and comparing reinforcement learning algorithms.
ParthaShuvro/Kalman-filter
ParthaShuvro/Popular-RL-Algorithms
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
ParthaShuvro/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.