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Modularized Implementation of Deep RL Algorithms in PyTorch
Created
2017-04-20
480 commits to master branch, last one 9 months ago
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)
Created
2021-11-14
104 commits to main branch, last one 3 months ago
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
a2c
gae
ppo
python3
pytorch
rainbow
double-dqn
dueling-dqn
actor-critic
deep-q-network
noisy-networks
categorical-dqn
deeprl-tutorials
multi-step-learning
quantile-regression
advantage-actor-critic
reinforcement-learning
deep-recurrent-q-network
deep-reinforcement-learning
prioritized-experience-replay
Created
2018-05-31
88 commits to master branch, last one 5 years ago
The implement of all kinds of dqn reinforcement learning with Pytorch
Created
2020-02-04
32 commits to master branch, last one 3 years ago