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DRL-Pytorch
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)PPO-Continuous-Pytorch
A clean and robust Pytorch implementation of PPO on continuous action space.PPO-Discrete-Pytorch
A clean and robust Pytorch implementation of PPO on Discrete action spaceSAC-Continuous-Pytorch
a clean and robust Pytorch implementation of SAC on continuous action spaceSAC-Discrete-Pytorch
A clean and robust Pytorch implementation of SAC on discrete action spaceDuel-Double-DQN-Pytorch
A clean and robust implementation of Duel Double DQNOkayPlan
OkayPlan: A real-time global path palnning algorithm for dynamic environmentsTD3-Pytorch
A clean and robust Pytorch implementation of TD3 on continuous action spaceActor-Sharer-Learner
Actor-Sharer-Learner training framework for off-policy DRL algorithmsPrioritized-Experience-Replay-DDQN-Pytorch
A clean and robust implementation of Prioritized DQN and Prioritized Double DQNSparrow-V0
A Reinforcement Learning Friendly Simulator for Mobile Robotokayplan_ros
Real-time global path planning algorithm for dynamic environmentsDDPG-Pytorch
A clean Pytorch implementation of DDPG on continuous action space.Real-time-Path-planning-with-SEPSO
Efficient Real-time Path Planning with SEPSO in Dynamic ScenariosColor
Color: Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized DiversityNoisy-Duel-DDQN-Atari-Pytorch
A clean and robust implementation of Noisy-Duel-DDQN on Atari gamesSparrow-V1
A Reinforcement Learning Friendly Simulator for Mobile RobotQ-learning
An implementation of Q-learningC51-Categorical-DQN-Pytorch
A clean and robust Pytorch implementation of Categorical DQN (C51)Love Open Source and this site? Check out how you can help us