The task allocation framework combines the Proximal Policy Optimization (PPO) algorithm with experience replay to train the Actor network, ensuring stable iterative updates of task allocation policies ...

I plan to add more hierarchical RL algorithms soon. Below shows the performance of DQN and DDPG with and without Hindsight Experience Replay (HER) in the Bit Flipping (14 bits) and Fetch Reach ...

PyTorch implementations of algorithms from "Reinforcement Learning: An Introduction by Sutton and Barto", along with various RL research papers.

Proximal Policy Optimization,Quality Of Service Constraints,Quality Of Service Requirements,Resource Allocation,Resource Block,Resource Utilization,Reward Function,Service Quality,Target Network,User ...