deep-deterministic-policy-gradient
There are 59 repositories under deep-deterministic-policy-gradient topic.
MorvanZhou/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
sudharsan13296/Hands-On-Reinforcement-Learning-With-Python
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
cpnota/autonomous-learning-library
A PyTorch library for building deep reinforcement learning agents.
ikostrikov/jaxrl
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
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.
bobiblazeski/js-gym
Reinforcement learning in JavaScript & Node.js
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
soumik12345/DDPG
Pytorch implementation of the Deep Deterministic Policy Gradients for Continuous Control
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.
EliorBenYosef/reinforcement-learning
Implementations of various RL and Deep RL algorithms in TensorFlow, PyTorch and Keras.
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.
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.
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 :)
qiaochen/DDPG_MultiAgent
Multi-Agent training using Deep Deterministic Policy Gradient Networks, Solving the Tennis Environment
cubrink/mujoco-2.1-rl-project
Implementing Deep Reinforcement Learning Algorithms in Python for use in the MuJoCo Physics Simulator
babyapple/tidy-rl
Tensorflow implementation of reinforcement learning (PG, A2C, DQN, DDPG, PPO, HER, SAC)
amirhosseinh77/Synapse-RL
PyTorch framework for reinforcement learning
arthur-bouton/MachineLearning
Various machine learning implementations and tools
frankroeder/goal_conditioned_rl
Goal-conditioned reinforcement learning like 🔥
henrytomsf/ReinforcementLearning
Implementation of deep deterministic policy gradient with Wolpertinger
seolhokim/ddpg-mountain-car-continuous
DDPG Algorithm is implemented using Pytorch
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
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''.
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.
ARgruny/Deep-Reinforcement-Learning
Build and test DRL algorithms in different environments
SafwanAlselwi/DDPG
Deep Deterministic Policy Gradient Algorithm: A Systematic Review