alirezakazemipour

Continuous-PPO

Proximal Policy Optimization (Continuous Version) in PyTorch.

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.

Discrete-SAC-PyTorch

PyTorch implementation of discrete version of Soft Actor-Critic.

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.

NN-Without-Frameworks

Let's build Neural Networks from scratch.

PPO-RND

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

Rainbow

Combining Improvements in Deep Reinforcement Learning

SAC

Implementation of Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.

alirezakazemipour/DDPG-HER

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

alirezakazemipour/DIAYN-PyTorch

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

alirezakazemipour/PPO-RND

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

alirezakazemipour/SAC

Implementation of Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.

alirezakazemipour/NN-Without-Frameworks

Let's build Neural Networks from scratch.

alirezakazemipour/Distributional-RL

Implementation of some of the Deep Distributional Reinforcement Learning Algorithms.

alirezakazemipour/DQN-HER

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

alirezakazemipour/Rainbow

Combining Improvements in Deep Reinforcement Learning

alirezakazemipour/A3C-ACER-PyTorch

Implementation of ACER and A3C in PyTorch.

alirezakazemipour/Cycle-GAN-PyTorch

PyTorch implementation of the Cycle GAN paper.

alirezakazemipour/DeepRL-Paradise

Comprehensive Deep RL Implementations

alirezakazemipour/TRPO-PyTorch

Trust Region Policy Optimization in PyTorch.

alirezakazemipour/ACKTR-PyTorch

alirezakazemipour/DDQN-Random-Network-Distillation

alirezakazemipour/Parkinson-Disease-Classification

alirezakazemipour/TD3-PyTorch

Addressing Function Approximation Error in Actor-Critic Methods

alirezakazemipour/alirezakazemipour

alirezakazemipour/alirezakazemipour.github.io

alirezakazemipour/bandit-algorithms

A short implementation of bandit algorithms - ETC, UCB, MOSS and KL-UCB

alirezakazemipour/brett-daley.github.io

alirezakazemipour/Cartpole-RL

alirezakazemipour/Discrete-PPO

Implementation of the proximal policy optimization on the Atari environments.

alirezakazemipour/gymnax

RL Environments in JAX 🌍

alirezakazemipour/homework_fall2021

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

alirezakazemipour/mon_mdp_neurips24

alirezakazemipour/PyExpUtils

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

alirezakazemipour/reinforcement_learning_an_introduction

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

alirezakazemipour/rl-prediction-template

alirezakazemipour/Top-50-Crypto-Kaggle

alirezakazemipour/TreeBased-And-SVM-Classifiers