Simple Reinforcement learning tutorials
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Updated
Nov 1, 2020 - Python
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Simple Reinforcement learning tutorials
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
A PyTorch library for building deep reinforcement learning agents.
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Implementation of algorithms for continuous control (DDPG and NAF).
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Reinforcement learning in JavaScript & Node.js
Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.
End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo
scalable multi agents reinforcement learning
Implementation of Deep Deterministic Policy Gradients (DDPG) to teach a Quadcopter How to Fly!
Pytorch implementation of the Deep Deterministic Policy Gradients for Continuous Control
Implemenation of DDPG with numpy only (without Tensorflow)
Multi-Agent training using Deep Deterministic Policy Gradient Networks, Solving the Tennis Environment
Implementations of various RL and Deep RL algorithms in TensorFlow, PyTorch and Keras.
Designing a control system to exploit model-free deep reinforcement learning algorithms to solve a real-world autonomous driving task of a small robot.
DDPG Algorithm is implemented using Pytorch
Implementation of deep deterministic policy gradient with Wolpertinger
Option hedging strategies are investigated using two reinforcement learning algorithms: deep Q network and deep deterministic policy gradient.
Tensorflow implementation of reinforcement learning (PG, A2C, DQN, DDPG, PPO, HER, SAC)
scalable multi-agent reinforcement learning
A deep reinforcement-learning agent for a double-jointed robotic arm.
Deep Deterministic Policy Gradient in PyTorch
An implementation of DDPG algorithm with some tweaks to train agents to play tennis in Unity 3d environment. A Udacity Deep Reinforcement Learning Collaboration and Competition Project.
Version 3.0.0 Pytorch implementations of DQN, DDQN, DDPG, SAC, Discrete SAC. With more features :)
Teach a quadcopter how to fly using reinforcement learning!
Teach a Quadcopter How to Fly!
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!
Torce self-driving
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