Code for the paper "DQN-based ethical decision-making for self-driving cars in unavoidable crashes: An applied ethical knob."
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Updated
Jun 28, 2024 - Python
Code for the paper "DQN-based ethical decision-making for self-driving cars in unavoidable crashes: An applied ethical knob."
An Ai using Reinforcement Learning to survive in a very basic roguelike environment
This code contains some modification of the main forked code and some features in order to regenerate and simulate the results mentioned in the linked paper.
An implementation of an Autonomous Vehicle Agent in CARLA simulator, using TF-Agents
gym environnement to simulate the energetic behaviour of a real estate
Codes implementation of the paper "Deep reinforcement learning for minimizing tardiness in parallel machine scheduling with sequence dependent family setups"
In this repository there are the projects developed during the course of Advance Optimization-based Robot Control. The main topics are Task Space Inverse Dynamics (TSID), Differential Dynamic Programming (DDP) and Deep Q-Network (DQN).
Double DQN on custom environment using PyGame
Final project in ELE680 Deep Neural Networks at UiS, University of Stavanger. Comparison of DQN and Double-DQN.
Train a model with Reinforcement Learning
Designing a DRL agent to drive autonomously in Carla Env
A simple implementation of HFT (High-Frequency Trading) in Python on the concept of DQN for forex market
a nearest frontier based DQN alg for robot exploration
This is how you teach a dumb bot to walk on two feet.
Develop an AI player of Atari Skiing with deep reinforcement learning
This repository contains the implementation of a DQN agent with a camera and collision sensor for navigating a map autonomously.
Tensorflow based DQN and PyTorch based DDQN Agent for 'MountainCar-v0' openai-gym environment.
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