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"
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Oct 8, 2026 - Python
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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"
reinforcement-learning deep-reinforcement-learning dqn ddpg drl vanet vehicular-networks v2v v2i ddpg-algorithm multi-agent-reinforcement-learning maddpg drl-algorithms
Autonomous Navigation of UAV using Reinforcement Learning algorithms.
PyTorch implementations of algorithms from "Reinforcement Learning: An Introduction by Sutton and Barto", along with various RL research papers.
reinforcement-learning deep-reinforcement-learning pytorch artificial-intelligence dqn policy-gradient deep-deterministic-policy-gradient ddpg-algorithm proximal-policy-optimization actor-critic-algorithm dqn-pytorch rl-book sutton-barto-book policy-gradient-with-baseline actor-critic-pytorch soft-actor-critic-continuous ppo-algorithm reinforcement-learning-an-introduction
Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines from OpenAI
reinforcement-learning robotics openai-gym ros gazebo actor-critic learning-from-demonstration ddpg-algorithm reinforcement-learning-agent hindsight-experience-replay
Chargym simulates the operation of an electric vehicle charging station (EVCS) considering random EV arrivals and departures within a day. This is a generalised environment for charging/discharging EVs under various disturbances (weather conditions, pricing models, stochastic arrival-departure EV times and stochastic Battery State of Charge (BOC…
reinforcement-learning electric-vehicles ddpg-algorithm charging-station openai-gym-environment charging-stations reinforcement-learning-environments intelligent-control ppo-algo rule-based-controller
Robot arm control using reinforcement learning algorithms : DDPG and TD3 with hindsight experience replay (HER)
reinforcement-learning robot-control ddpg-algorithm hindsight-experience-replay td3 twin-delayed-policy-gradient
Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.
reinforcement-learning tensorflow openai-gym python3 ddpg ros-kinetic deep-deterministic-policy-gradient ddpg-algorithm gazebo-simulator bipedal-robots gazebo7
Simulation based Soft Continuum Robot Control via Reinforcement Learning
reinforcement-learning robotics keras deep-reinforcement-learning pytorch ddpg keras-tensorflow ddpg-algorithm ddpg-pytorch ddpg-keras
This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.
deep-reinforcement-learning rainbow doom dqn sarsa a3c ddqn ddpg-algorithm ppo a2c prioritized-experience-replay cartpole-v0 noisy-networks soft-actor-critic half-cheetah kungfumaster-v0 ant-v2 reinforce-algorithm
Train a reinforcement learning agent to play a variation of Pong®
Implementation of the DDPG algorithm for Optimal Finance Trading
PyTorch implementation of the Q-Learning Algorithm Normalized Advantage Function for continuous control problems + PER and N-step Method
reinforcement-learning q-learning dqn reinforcement-learning-algorithms continuous-control naf ddpg-algorithm prioritized-experience-replay normalized-advantage-functions q-learning-algorithm n-step-bootstrapping
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.
Designing a control system to exploit model-free deep reinforcement learning algorithms to solve a real-world autonomous driving task of a small robot.
reinforcement-learning deep-reinforcement-learning openai-gym policy-gradient anki ddpg cozmo openai-gym-environments deep-deterministic-policy-gradient ddpg-algorithm openai-gym-environment cozmo-anki-robots soft-actor-critic
This repository implements the use of AI for robot tasks.
python reinforcement-learning deep-learning robotics university-project openai-gym artificial-intelligence object-detection solidworks numba opencv-python trajectory-planning ddpg-algorithm urdf-models deep-rl prioritized-experience-replay pyotrch object-sorting parametric-exploration-noise rai-python
Learning Continuous Control in Deep Reinforcement Learning
reinforcement-learning deep-reinforcement-learning pytorch reinforcement-learning-algorithms ddpg continuous-control ddpg-algorithm ddpg-agent unity-ml-agents
An open-source hardware racing drone design and demonstration RL software for the artificial intelligence robotic drone race competitions
machine-learning automation reinforcement-learning drone deep-reinforcement-learning machine-vision autonomous-vehicles ddqn ddpg-algorithm drone-racing
La combinación más inteligente de Deep Q-Learning, Políticas de Gradiente, Actor-Crítico y DDPG utilizando PyTorch
deep-learning deep-reinforcement-learning pytorch ddpg actor-critic ddpg-algorithm superdatascience-course ddpg-agent td3 pytorch-implementation ddpg-pytorch
The objective is to teach robot to find and reach the target object in the minimum number of steps and using the shortest path and avoiding any obstacles such as humans, walls, etc usinf reinforcement learning algorithms.
reinforcement-learning robotics deep-reinforcement-learning policy-gradient webots ddpg-algorithm deterministic-policy-gradients deepq-learning epuck-robot q-learning-algorithm
Reinforcement learning library for PyTorch.
reinforcement-learning artificial-intelligence neural-networks ddpg ddpg-algorithm ppo hindsight-experience-replay hindsight-policy-gradients torch-rl spiking-networks
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