Simple pytorch implementations of RL algorithms

Autonomous Driving W/ Deep Reinforcement Learning in Lane Keeping - DDQN and SAC with kinematics/birdview-images

Labs for the Robot Learning class, focusing on robotics and Reinforcement Learning. Each lab focuses on a different topic, had mandatory tasks and eventually extensions. All the results have been discussed in the reports.

Pytorch Implementation of TD3 and SAC algorithms on Mujoco Models

Documentation and implementation of a Reinforcement Learning approach designed to automate inverse kinematics for manipulation tasks involving the arms of SoftBank Robotics' Pepper robot.

A general deep reinforcement learning frames for atari games by pytorch.

AI Course Project 14032 - Dr. TanGhatari

⌨️ The SaC programming language IDE submodule for SNU Programming Tools (2D Mode)

A simple calculator widget for SAP Analytics Cloud

Implementation of all RL algorithms in a simpler way

PyTorch implementations for deep and classical rl algorithms

Study Model-Based Policy Optimization by varying the model estimator classes (e.g Decision Trees vs MLP)

PyTorch implementation of SAC (Soft Actor-Critic)

fern - Federated Earthquake data Retrieval via Network

PROJECT MIGRATED TO CODEBERG - Reinforcement Learning in Multiplicative Domains

Paper repository: "Dragonfly: a modular deep reinforcement learning library"

Yet another deep reinforcement learning

Multi-Discrete Soft Actor Critic implementation on Unity's procedurally generated Obstacle Tower Environment.

Reinforcement learning agents (TD3 & SAC) for AirHockey, exploring the impact of policy noise, delay, and other training variations.

Contains PyTorch Implementation of the following off policy actor critic algorithms