double-dqn

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

machine-learning reinforcement-learning asl deep-reinforcement-learning q-learning pytorch ddpg sac double-dqn c51 dueling-dqn categorical-dqn ppo prioritized-experience-replay noisynet-dqn td3

Updated Oct 23, 2024
Python

qfettes / DeepRL-Tutorials

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Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Updated May 19, 2021
Jupyter Notebook

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

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Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

reinforcement-learning monte-carlo deep-reinforcement-learning openai-gym q-learning deep-learning-algorithms policy-gradient sarsa deep-q-network markov-decision-processes asynchronous-advantage-actor-critic double-dqn trpo dueling-dqn deep-deterministic-policy-gradient ppo deep-recurrent-q-network drqn hindsight-experience-replay policy-gradients

Updated Oct 7, 2020
Jupyter Notebook

marload / DeepRL-TensorFlow2

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🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

machine-learning reinforcement-learning deep-learning tensorflow deep-reinforcement-learning dqn a3c reinforce ddpg sac double-dqn trpo dueling-dqn ppo a2c rainbow-dqn tensorflow2

Updated Jun 4, 2022
Python

sudharsan13296 / Deep-Reinforcement-Learning-With-Python

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Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

reinforcement-learning deep-learning deep-reinforcement-learning openai-gym q-learning dqn policy-gradient a3c ddpg sac inverse-reinforcement-learning actor-critic bellman-equation double-dqn trpo c51 ppo a2c td3

Updated Apr 1, 2021
Jupyter Notebook

Dungyichao / Electric-Vehicle-Route-Planning-on-Google-Map-Reinforcement-Learning

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User can set up destination for any agent to navigate on Google Map and learn the best route for the agent based on its current condition and the traffic. Our result is 10% less energy consumption than the route provided by Google map

python reinforcement-learning battery directions google-maps path-planning elevation geocode python36 electric-vehicles route-planner double-dqn

Updated Jan 25, 2023
Python

Kyushik / DRL

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Repository for codes of 'Deep Reinforcement Learning'

tensorflow deep-reinforcement-learning pygame dqn icm rnd drl ddqn double-dqn prioritized-replay dueling-dqn deep-recurrent-q-network drqn prioritized-experience-replay noisynet-dqn

Updated Oct 4, 2019
Python

AgentMaker / Paddle-RLBooks

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Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.

reinforcement-learning q-learning dqn policy-gradient sarsa reinforce ddpg policy-iteration value-iteration sac actor-critic double-dqn paddlepaddle c51 dueling-dqn td3 noisy-dqn nstep-dqn policy-gradient-with-baseline

Updated Nov 13, 2021
Python

DeepNeuralAI / RL-DeepQLearning-Trading

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An RL model that uses double deep Q learning to generate an optimal policy of stock market trades

reinforcement-learning openai-gym double-dqn stock-trading

Updated Dec 8, 2022
Python

LxzGordon / Deep-Reinforcement-Learning-with-pytorch

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Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO