Learning agents in oligopolies (Cournot / Stackelberg) Agent-based model

This repository implements the use of AI for robot tasks.

The project presents a drone obstacle avoidance system using Microsoft AirSim and the DDPG algorithm, training drones with LIDAR and depth sensors for improved real-time navigation. It compares the implementation of DDPG algorithm with different sensors and their combination.

Repository contains codes for the course CS780: Deep Reinforcement Learning

Simulation based Soft Continuum Robot Control via Reinforcement Learning

Controlling a 7 DOF manipulator from the panda gym reacher environment using DDPG

Training robots to play soccer

Code for paper "基于多智能体深度强化学习的车联网通信资源分配优化"

Implementation of Deep Deterministic Policy Gradient Algorithm in Pytorch - Using OpenAI-Gym

[입선상 수상작] 2023년 NH 투자증권 빅데이터 경진대회 | 재무제표 분석을 통한 투자 성향 맞춤형 글로벌 투자 가이드

Robot arm control using reinforcement learning algorithms : DDPG and TD3 with hindsight experience replay (HER)

Implementation of the deep-RL algorithm DDPG.

A multi-agent DDPG that learns to play competitive games in a Unity environment

DDPG and D4PG Continuous Control

Tensorflow-based DDPG implementation with a DVC tracked pipeline for experiments.

RL Algorithms with examples in Python / Pytorch / Unity ML agents

Reinforcement learning algorithm implements.

Reinforcement Learning Project using DDPG