Pinned Repositories
deep-Q-networks
Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51
DRL-based_UAV_Motion_Planning
code for `A Hybrid Human-in-the-Loop Deep Reinforcement Learning Method for UAV Motion Planning'
Policy-Gradient-Methods
Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
Reinforcement-learning
Modular implementations of reinforcement learning algorithms with PyTorch
TD3-based_UAV_Collision_Avoidance
code for `Autonomous navigation of UAV in multi-obstacle environments based on a Deep Reinforcement Learning approach'
RealZST's Repositories
RealZST/TD3-based_UAV_Collision_Avoidance
code for `Autonomous navigation of UAV in multi-obstacle environments based on a Deep Reinforcement Learning approach'
RealZST/DRL-based_UAV_Motion_Planning
code for `A Hybrid Human-in-the-Loop Deep Reinforcement Learning Method for UAV Motion Planning'
RealZST/deep-Q-networks
Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51
RealZST/Policy-Gradient-Methods
Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
RealZST/Reinforcement-learning
Modular implementations of reinforcement learning algorithms with PyTorch