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Ashish Kumar Jayant's Projects

mbppol icon mbppol

This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm" accepted at NeurIPS 2022.

my-neural-networks icon my-neural-networks

My own implementations of neural networks from scratch and some experiments on Keras framework

neural-architecture-search icon neural-architecture-search

Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).

notes icon notes

Computer Science notes in LaTeX

pygta5 icon pygta5

Explorations of Using Python to play Grand Theft Auto 5.

reinforcement-learning icon reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

safe-explorer icon safe-explorer

Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]

safety-starter-agents icon safety-starter-agents

Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.

spectral-clustering icon spectral-clustering

Spectral Clustering is a technique to cluster data which finds use in community detetction applications

stable-baselines3 icon stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

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