deep-deterministic-policy-gradient

sudharsan13296/Hands-On-Reinforcement-Learning-With-Python

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

ikostrikov/jaxrl

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

cpnota/autonomous-learning-library

A PyTorch library for building deep reinforcement learning agents.

ChenglongChen/pytorch-DRL

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

fangvv/UAV-DDPG

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

zuoxingdong/lagom

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

ikostrikov/pytorch-ddpg-naf

Implementation of algorithms for continuous control (DDPG and NAF).

m5823779/motion-planner-reinforcement-learning

End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo

hanlinniu/turtlebot3_ddpg_collision_avoidance

Mapless Collision Avoidance of Turtlebot3 Mobile Robot Using DDPG and Prioritized Experience Replay

navuboy/ddpg_biped

Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.

VachanVY/Reinforcement-Learning

PyTorch implementations of algorithms from "Reinforcement Learning: An Introduction by Sutton and Barto", along with various RL research papers.

Cernewein/heating-RL-agent

A Pytorch DQN and DDPG implementation for a smart home energy management system under varying electricity price.

livey/scalable_maddpg

scalable multi agents reinforcement learning

bobiblazeski/js-gym

Reinforcement learning in JavaScript & Node.js

soumik12345/DDPG

Pytorch implementation of the Deep Deterministic Policy Gradients for Continuous Control

BY571/D4PG

PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2RL which can be added to D4PG to improve its performance.

sksq96/deep-rl-quadcopter

Implementation of Deep Deterministic Policy Gradients (DDPG) to teach a Quadcopter How to Fly!

YukiYasuda2718/rl-bsmodel-with-costs

Option hedging strategies are investigated using two reinforcement learning algorithms: deep Q network and deep deterministic policy gradient.

PieroMacaluso/Deep-RL-Autonomous-Systems

Designing a control system to exploit model-free deep reinforcement learning algorithms to solve a real-world autonomous driving task of a small robot.

EliorBenYosef/reinforcement-learning

Implementations of various RL and Deep RL algorithms in TensorFlow, PyTorch and Keras.

cubrink/mujoco-2.1-rl-project

Implementing Deep Reinforcement Learning Algorithms in Python for use in the MuJoCo Physics Simulator

kcg2015/DDPG_numpy_only

Implemenation of DDPG with numpy only (without Tensorflow)

bhatiaabhinav/RL-v2

Version 3.0.0 Pytorch implementations of DQN, DDQN, DDPG, SAC, Discrete SAC. With more features :)

frankroeder/goal_conditioned_rl

Goal-conditioned reinforcement learning like 🔥

qiaochen/DDPG_MultiAgent

Multi-Agent training using Deep Deterministic Policy Gradient Networks, Solving the Tennis Environment

arbit3rr/Synapse-RL

PyTorch framework for reinforcement learning

babyapple/tidy-rl

Tensorflow implementation of reinforcement learning (PG, A2C, DQN, DDPG, PPO, HER, SAC)

arthur-bouton/MachineLearning

Various machine learning implementations and tools

henrytomsf/ReinforcementLearning

Implementation of deep deterministic policy gradient with Wolpertinger

RLOpensource/spinning_up_kr

seolhokim/ddpg-mountain-car-continuous

DDPG Algorithm is implemented using Pytorch

msramada/Active-Learning-Reinforcement-Learning

This code can be used to reproduce the results in our paper ``Actively Learning Reinforcement Learning: A Stochastic Optimal Control Approach''.

DeconvFFT/fetch-and-slide-HRE-PRE

In this project, I attempt to solve fetch and slide open gym environment with Hindsight Experience Replay and the I experiment with Prioritised experience replay to see if there are any performance improvements

MZayed47/DDPG_Agent

Deep Deterministic Policy Gradient (DDPG) is a model-free off-policy algorithm for learning continuous actions. It is a reinforcement learning technique that combines ideas from DPG (Deterministic Policy Gradient) and DQN (Deep Q-Network). From DQN, it uses Experience Replay and Slow-learning target networks. From DPG, it incorporates Operating over continuous action spaces.

naivoder/DDPG

Pytorch implementation of Deep Deterministic Policy Gradients (DDPG)