Anirban Santara
Santara
Software Engineer @ Google Research | 2x Research/SWE Intern at Google Brain | Interests: Deep Learning, Reinforcement Learning, Robotics
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This repository contains the Tutorials for the NPTEL MOOC on Machine Learning.
Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]
Codebase of Santara et. al., RAIL: Risk Averse Imitation Learning, Published in AAMAS 2018
End-to-End Learning from Tesla Autopilot Driving Data
This is IIT Kharagpur's end to end deep learnt speech recognition system
Safe Reinforcement Learning algorithms
Repositories
64This repository contains the Tutorials for the NPTEL MOOC on Machine Learning.
Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]
Codebase of Santara et. al., RAIL: Risk Averse Imitation Learning, Published in AAMAS 2018
End-to-End Learning from Tesla Autopilot Driving Data
Safe Reinforcement Learning algorithms
No description provided.
Implementation of recent papers on hyperspectral image classification for identification of the type of land-cover
Using reinforcement learning to teach a car to avoid obstacles.
Self Driving Car development tools and technologies from GTA Robotics Community members
A self-driving car simulator built with Unity
:triangular_ruler: A flexible two-column Jekyll theme. Perfect for personal sites, blogs, and portfolios hosted on GitHub or your own server.
Multi-Agent DRiving Simulator
Multi-class metrics for Tensorflow
Automated Systematic Literature Review
Open-source software for urban autonomous driving
Extension of (Generative Adversarial Imitation Learning)[https://arxiv.org/abs/1606.03476]
This is IIT Kharagpur's end to end deep learnt speech recognition system
No description provided.
FastSim. This following QT program provides a open-sourced simulator for autonomous driving development purposes.
Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)
Codes for Workshop on Deep Learning organised by IEEE Student Branch, IIT Kharagpur on 1st Oct. 2016.
Run a self-driving car simulator from the comfort of your own PC
Models built with TensorFlow
A plugin for GTAV that transforms it into a vision-based self-driving car development environment. It supports two main operation modes, Dataset generation or Reinforcement Learning environment and it is super easy to install!
The Udacity open source self-driving car project
Deep learnt user model for scientific paper recommendation
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Squeeze-and-Excitation Networks
third person imitation learning shit post for replication
No description provided.