deep-deterministic-policy-gradient
There are 61 repositories under deep-deterministic-policy-gradient topic.
DDPG
Deep Deterministic Policy Gradient Algorithm: A Systematic Review
Deep-RL-Assignment
Code and Report relating to the Advanced Reinforcement Learning University Unit
DRLND_ContinuousControl
Deep Reinforcement Learning: Continuous Control. Solve the Unity ML-Agents Reacher Environment.
reacher-ddpg
Udacity Deep Reinforcement Learning Nanodegree. Second Project Implementation (Continuous Control).
luke-the-reacher
A deep reinforcement-learning agent for a double-jointed robotic arm.
RL_baselines
A merge between OpenAI Baselines and Stable Baselines with increased focus on HER+DDPG and ease of use. Simply run the bash script to get started!
DDPG
Deep Deterministic Policy Gradient in PyTorch
scalable_maddpg_clever_prey
scalable multi-agent reinforcement learning
Udacity-Deep-Reinforcement-Learning-Nanodegree
Projects and Exercises of Udacity Deep Reinforcement Learning Nanodegree
experienced-metronome
Solve the Inverted Pendulum Control problem using Deep Deterministic Policy Gradient model
relax_ddpg_example
Example DDPG implementation with ReLAx
deep-reinforcement-learning
This repository contains my assignment solutions for the Deep Reinforcement Learning course (430.729_003) offered by Seoul National University (Spring 2020).
ddpg-deep-deterministic-policy-gradient-pytorch
The pytorch implementation of ddpg
Reinforcement-Learning
Tests SOTA algorithms using pendulum as baseline environment
ddpg-continuous-control
š¦¾ Utilizing a Deep Deterministic Policy Gradient algorithm to train robotic simulations in continuous action space
tennis-maddpg
Udacity Deep Reinforcement Learning Nanodegree. Third Project Implementation (Collaboration and Competition).
bachelor-thesis
BS diploma at MIPT DCAM
RL-Quadcopter-2
Teach a Quadcopter How to Fly!
Reinforcement-Learning-Self-Projects
Fun with Reinforcement Learning in my spare time
reacher-continuous-control
A DDPG agent that solves the Reacher Unity environment
RL-Quadcopter-2
Teach a quadcopter how to fly using reinforcement learning!
laminarflow
Streamline your TensorFlow workflow.
RL-Quadcopter-2
A Deep Learning project which designs an agent that can fly a quad-copter, and then train it using a reinforcement learning algorithm DDPG
pytorch-ddpg
Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
Torcs_car
Torce self-driving