Udacity Deep Reinforcement Learning Nanodegree. Second Project Implementation (Continuous Control).
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Updated
Dec 8, 2020 - Python
Udacity Deep Reinforcement Learning Nanodegree. Second Project Implementation (Continuous Control).
Torce self-driving
A DDPG agent that solves the Reacher Unity environment
BS diploma at MIPT DCAM
Tests SOTA algorithms using pendulum as baseline environment
Teach a quadcopter how to fly using reinforcement learning!
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!
Teach a Quadcopter How to Fly!
This repository contains my assignment solutions for the Deep Reinforcement Learning course (430.729_003) offered by Seoul National University (Spring 2020).
Deep Deterministic Policy Gradient Algorithm: A Systematic Review
scalable multi-agent reinforcement learning
Deep Reinforcement Learning: Continuous Control. Solve the Unity ML-Agents Reacher Environment.
Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
Solve the Inverted Pendulum Control problem using Deep Deterministic Policy Gradient model
A deep reinforcement-learning agent for a double-jointed robotic arm.
Build and test DRL algorithms in different environments
Fun with Reinforcement Learning in my spare time
Streamline your TensorFlow workflow.
The pytorch implementation of ddpg
Goal-conditioned reinforcement learning like 🔥
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