alirezakazemipour

DDPG-HER

Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.

DIAYN-PyTorch

Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.

PPO-RND

Random network distillation on Montezuma's Revenge and Super Mario Bros.

Discrete-SAC-PyTorch

PyTorch implementation of discrete version of Soft Actor-Critic.

Continuous-PPO

Proximal Policy Optimization (Continuous Version) in PyTorch.

NN-Without-Frameworks

Let's build Neural Networks from scratch.

Distributional-RL

Implementation of some of the Deep Distributional Reinforcement Learning Algorithms.

DQN-HER

Implementation of the hindsight experience by DQN algorithm on the bit flip environment.

Cycle-GAN-PyTorch

PyTorch implementation of the Cycle GAN paper.

DeepRL-Paradise

Comprehensive Deep RL Implementations

Rainbow

Combining Improvements in Deep Reinforcement Learning

TRPO-PyTorch

Trust Region Policy Optimization in PyTorch.

A3C-ACER-PyTorch

Implementation of ACER and A3C in PyTorch.

ACKTR-PyTorch

DDQN-Random-Network-Distillation

DeepLearning-Collection

Parkinson-Disease-Classification

A2C-SIL-TF2

TensorFlow2 implementation of Self-Imitation Learning (SIL) with Synchronous Advantage Actor-Critic (A2C).

alirezakazemipour

alirezakazemipour.github.io

brett-daley.github.io

Cartpole-RL

Discrete-PPO

Implementation of the proximal policy optimization on the Atari environments.

homework_fall2021

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)

PyExpUtils

Experiment utility code, specifically designed for use with Compute Canada.

reinforcement_learning_an_introduction

Notes and exercise solutions for second edition of Sutton & Barto's book

rl-prediction-template

TD3-PyTorch

Addressing Function Approximation Error in Actor-Critic Methods

Top-50-Crypto-Kaggle

TreeBased-And-SVM-Classifiers