Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
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Updated
Apr 6, 2017 - Python
Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
Torce self-driving
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Implementation of Deep Deterministic Policy Gradients (DDPG) to teach a Quadcopter How to Fly!
scalable multi-agent reinforcement learning
Implemenation of DDPG with numpy only (without Tensorflow)
scalable multi agents reinforcement learning
A DDPG agent that solves the Reacher Unity environment
Multi-Agent training using Deep Deterministic Policy Gradient Networks, Solving the Tennis Environment
Teach a quadcopter how to fly using reinforcement learning!
Deep Deterministic Policy Gradient in PyTorch
Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.
Reinforcement learning in JavaScript & Node.js
Teach a Quadcopter How to Fly!
Tensorflow implementation of reinforcement learning (PG, A2C, DQN, DDPG, PPO, HER, SAC)
DDPG Algorithm is implemented using Pytorch
Option hedging strategies are investigated using two reinforcement learning algorithms: deep Q network and deep deterministic policy gradient.
A deep reinforcement-learning agent for a double-jointed robotic arm.
Fun with Reinforcement Learning in my spare time
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