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9 search results found

Overcoming Exploration From Demos ⭐ 117

Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines from OpenAI

Rl_ardrone ⭐ 115

Autonomous Navigation of UAV using Reinforcement Learning algorithms.

Vn Maddpg ⭐ 92

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"

Ddpg_biped ⭐ 88

Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.

Chargym Charging Station ⭐ 18

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) at arrival). This is an open source OpenAI Gym environment for the implementation of Reinforcement Learning (RL), Rule-based approaches (RB) and Intel

Deeprl Continuous Control ⭐ 14

Learning Continuous Control in Deep Reinforcement Learning

Rl Based Control Of A Soft Continuum Robot ⭐ 10

Simulation based Soft Continuum Robot Control via Reinforcement Learning

Deep Rl Autonomous Systems ⭐ 7

Designing a control system to exploit model-free deep reinforcement learning algorithms to solve a real-world autonomous driving task of a small robot.

Normalized Advantage Function Naf ⭐ 5

PyTorch implementation of the Q-Learning Algorithm Normalized Advantage Function for continuous control problems + PER and N-step Method

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