dqn-pytorch
There are 181 repositories under dqn-pytorch topic.
Lizhi-sjtu/DRL-code-pytorch
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
cpnota/autonomous-learning-library
A PyTorch library for building deep reinforcement learning agents.
BY571/DQN-Atari-Agents
DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN
aksub99/MolDQN-pytorch
A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".
KaleabTessera/DQN-Atari
Deep Q-Learning (DQN) implementation for Atari pong.
philtabor/ProtoRL
A Torch Based RL Framework for Rapid Prototyping of Research Papers
Sheng-J/DOM-Q-NET
Graph-based Deep Q Network for Web Navigation
josiahls/fast-reinforcement-learning
Important Note fastrl version 2 is being developed at fastrl. Note the link in the readme
GangSuUGA/StageLight
SUMO Pytorch Deep Reinforcement Learning Traffic Signal Control
blavad/marl
Multi-agent reinforcement learning framework
BY571/FQF-and-Extensions
PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF) and Extensions: N-step Bootstrapping, PER, Noisy Layer, Dueling Networks, and parallelization.
bhctsntrk/OpenAIPong-DQN
Solving Atari Pong Game w/ Duel Double DQN in Pytorch
makaveli10/reinforcementLearning
Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenAI Gym.
batuhan3526/AirSim-PyTorch-Drone-DDQN-Agent
This code is the result of the collaboration of RL Turkey team.
laszukdawid/ai-traineree
PyTorch agents and tools for (Deep) Reinforcement Learning
kishorkukreja/SupplyChainv0_gym
Reinforcement Learning for Optimal inventory policy
QasimWani/RL-Unity
Implementation of Deep Reinforcement Learning algorithms in the Unity game engine.
Desny/traffic_light_rl
Integrate AutoRL into DQN to implement a single traffic signal control system.
iewug/Atari-DQN
PyTorch implementation of DQN, DDQN and Dueling DQN to solve Atari games including PongNoFrameskip-v4, BreakoutNoFrameskip-v4 and BoxingNoFrameskip-v4
RichardFindlay/battery-optimisation-with-drl
Grid-scale li-ion battery optimisation for wholesale market arbitrage, using pytorch implementation of dqn, double dueling dqn and a noisy network dqn.
rvdweerd/simmodel
Solving pursuit-evasion problems on graphs using Reinfocement Learning and GNNs
jiaxiang-cheng/PyTorch-PDQN-for-Digital-Twin-ACS
PyTorch implementation of RIC for conveyor systems with Deep Q-Networks (DQN) and Profit-Sharing (PS). Wang, T., Cheng, J., Yang, Y., Esposito, C., Snoussi, H., & Tao, F. (2020). Adaptive Optimization Method in Digital Twin Conveyor Systems via Range-Inspection Control. IEEE Transactions on Automation Science and Engineering.
ekorudiawan/DQN-robot-arm
Deep Q learning algorithm written on PyTorch for solving 2D robot arm reacher
moabitcoin/cherry-pytorch
Reinforcement Learning Tutorials & other bedtime stories in PyTorch
french-ai/reinforcement
Reinforcement learning modular with pytorch
Spinkoo/Matlab2TorchRL
This project is a pipeline that connects a Matlab simulation (Simulink) to an OpenAI Gym wrapper for PyTorch Reinforcement Learning using the DQN algorithm.
davide97l/Rainbow
Implementation and evaluation of the RL algorithm Rainbow to learn to play Atari games.
mayankiitg/TrafficLight-RL
Control Traffic lights intelligently with Reinforcement Learning!
Amirarsalan-sn/Lunar-Lander
Lunar Lander envitoment of gymnasium solved using Double DQN and D3QN
jk96491/Unity-ML-Agents
Unity 강화학습 알고리즘 및 게임 환경을 제공합니다.
wegfawefgawefg/wegs-drl-baselines
Minimum viable reinforcement learning algorithms for your educational convenience.
foersterrobert/DQpoNg
Use the movements of your thumb to play Pong against a pre-trained Double-DQN-Agent. I used Google-Colab for training the pyTorch model and created the Pong environment with Pygame.
Kreyparion/Harvest-Competition-Agents
My solution to the Harvest Competition
nicoleorzan/emergent-communication
Studying emergent communication among agents in cooperative and competitive environments using Reinforcement Learning, game theory and replicator dynamics
RishabhMalviya/dqn_experiments
Experimenting with PyTorch DQNs on various environments