OIPD computes the market's expectations about the probable future prices of an asset, based on information contained in options data.

Random Network Distillation pytorch

Repository for codes of 'Deep Reinforcement Learning'

A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPole, LunarLander, and MountainCar.

Random Network Distillation(RND) algo in Pytorch

The implement of the policy gradient RL algorithm with pytorch

Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL

General-Purpose Reinforcement Learning

Storehouse of scripts/code snippets corresponding to the current RnD project.

Code for RnD project at IIT Bombay. This work was published at IEEE ICNP 2018 workshop P4EU.

Malicious Code Scanner

Multiworker PPO with random network distillation in eager execution Tensorflow

Analyse efficacy of your own confidence interval (CI) methods

Code:Morpheus is the Cybersecurity Laboratory project imagined by Forensick.

Sample Python script for initiating test runs and checking for the results