SaminYeasar

Off_Policy_Adversarial_Inverse_Reinforcement_Learning

Implementation of Off Policy Adversarial Inverse Reinforcement Learning

pentago_twist

Offline-Reinforcement-Learning-Algorithms

PyTorch Implementation of Offline Reinforcement Learning algorithms

ENF-Extraction-of-Bangladesh-Grid

Process of collecting Power Recording from Bangladesh Grid is described. More than 10 Hours of data has published here. We also extracted ENF from recorded power file and compared with online available grid data all around the world.

off_policy_ac

Contains PyTorch Implementation of the following off policy actor critic algorithms

PyTorch-implementation-DICE-algorithms

PyTorch-implementation-DICE-algorithms

auto-drac

Automatic Data-Regularized Actor-Critic (Auto-DrAC)

awr

Implementation of advantage-weighted regression.

CQL

Conservative Q Learning on top of SAC

d4rl-atari

Datasets for data-driven deep reinforcement learning with Atari (wrapper for datasets released by Google)

decision-transformer

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

Deep-Learning-Algos

Problems are solved using Tensorflow, Deep Learning, Machine Learning

DeepMimic_mujoco

DeepMimic Mujoco version; Python only; No Bullet, No C++

diffuser

Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"

DrM

DrM, a visual RL algorithm, minimizes the dormant ratio to guide exploration-exploitation trade-offs, achieving significant improvements in sample efficiency and asymptotic performance across diverse domains.

drq

DrQ: Data regularized Q

drqv2

DrQ-v2: Improved Data-Augmented Reinforcement Learning

google-research

Google Research

gym-minigrid

Minimalistic gridworld package for OpenAI Gym

imitation_learning

PyTorch implementation of some reinforcement learning algorithms: Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), V-MPO, Behavior Cloning (BC). More algorithms will be added.

metaworld

An open source robotics benchmark for meta- and multi-task reinforcement learning

offline-rl-minigrid

oop-python

Object-Oriented Programming in Python

rad_procgen

RAD: Reinforcement Learning with Augmented Data (code for procgen experiments)

redo

ReDo: The Dormant Neuron Phenomenon in Deep Reinforcement Learning (pytorch)

saminyeasar.github.io

Source code for http://www.jesshamrick.com/

saminyeasar___.github.io

sqil-atari

Implementation of SQIL for Atari games

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

vector-quantize-pytorch

Vector Quantization, in Pytorch