dqn
There are 1090 repositories under dqn topic.
deep_rl
PyTorch implementation of deep reinforcement learning algorithms
UAV-DDPG
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
pytorch-rl
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
machin
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Machine-Learning-is-ALL-You-Need
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
AI-blog
Accompanying repository for Let's make a DQN / A3C series.
Deep-Reinforcement-Learning-With-Python
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
Hands-On-Intelligent-Agents-with-OpenAI-Gym
Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
reinforcement-learning-kr
[파이썬과 케라스로 배우는 강화학습] 예제
Reinforcement_Learning
Reinforcement learning tutorials
deep-RL-trading
playing idealized trading games with deep reinforcement learning
learning-to-communicate-pytorch
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
DeepRL_Algorithms
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
rlgraph
RLgraph: Modular computation graphs for deep reinforcement learning
Reinforcement-Learning-Papers
📚 List of Top-tier Conference Papers on Reinforcement Learning (RL),including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.
xingtian
xingtian is a componentized library for the development and verification of reinforcement learning algorithms
per
Prioritized Experience Replay (PER) implementation in PyTorch
TF2-RL
Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]
RLcycle
A library for ready-made reinforcement learning agents and reusable components for neat prototyping
DRL_based_SelfDrivingCarControl
Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator
kanachan
A Japanese (Riichi) Mahjong AI Framework
aleph_star
Reinforcement learning with A* and a deep heuristic
MindMaker
MindMaker UE4 Machine Learning Toolkit
atari
AI research environment for the Atari 2600 games 🤖.
keras-rl2
Reinforcement learning with tensorflow 2 keras
Deep-Reinforcement-Learning-for-Dynamic-Spectrum-Access
Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication
DRL
Repository for codes of 'Deep Reinforcement Learning'
torchrl
Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
TradingGym
Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.
VN-MADDPG
Code for paper "基于多智能体深度强化学习的车联网通信资源分配优化"
Deep_RL_with_pytorch
A pytorch tutorial for DRL(Deep Reinforcement Learning)
DeepRL_PyTorch
Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.
ros2learn
ROS 2 enabled Machine Learning algorithms
RL_Matrix
Deep Reinforcement Learning in C#
Retro-Learning-Environment
The Retro Learning Environment (RLE) -- a learning framework for AI
OpenAIGym
Solving OpenAI Gym problems.