Torce self-driving
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Updated
Jul 6, 2017 - Python
Torce self-driving
A DDPG agent that solves the Reacher Unity environment
BS diploma at MIPT DCAM
Udacity Deep Reinforcement Learning Nanodegree. Second Project Implementation (Continuous Control).
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
Fun with Reinforcement Learning in my spare time
Streamline your TensorFlow workflow.
The pytorch implementation of ddpg
Goal-conditioned reinforcement learning like 🔥
A deep reinforcement-learning agent for a double-jointed robotic arm.
Build and test DRL algorithms in different environments
Solve the Inverted Pendulum Control problem using Deep Deterministic Policy Gradient model
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