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.

The implement of the policy gradient RL algorithm with pytorch

Random Network Distillation(RND) algo in Pytorch

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

General-Purpose Reinforcement Learning

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

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

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

Multiworker PPO with random network distillation in eager execution Tensorflow

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