wisnunugroho21/asynchronous_impala_PPO

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Created over 3 years ago
Updated over 3 years ago

wisnunugroho21/asynchronous_impala_PPO

wisnunugroho21

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Multi-Agent Deep Reinforcement Learning by using Asynchronous & Impala Proximal Policy Optimization in Pytorch with some explanation

reinforcement_learning_ppo_rnd

Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation

reinforcement_learning_phasic_policy_gradient

Deep Reinforcement Learning by using Phasic Policy Gradient in Pytorch & Tensorflow

reinforcement_learning_truly_ppo

Deep Reinforcement Learning by using Truly Proximal Policy Optimization in Tensorflow 2 and Pytorch

reinforcement_learning_v_mpo

Deep Reinforcement Learning by using an on-policy adaptation of Maximum a Posteriori Policy Optimization (MPO)

nugi-self-driving-car-project

This framework is meant to assist my Self Driving Car project. If you think this framework will help you, feel free to clone or fork this repository

reinforcement_learning_soft_actor_critic

Reinforcement Learning using Soft Actor Critic

nugi_rl

A framework intended to facilitate the development and/or implementation of reinforcement learning algorithms in PyTorch

chatbot_pytorch_transformer

Seq2Seq Transformer using Pytorch from Scratch for Chatbot