RL

Multi Agent Hierarchical Actor Critic (docu: https://vg_tum.gitlab.io/mahac_rl)

Generating some kind of a language between two RL agents through a Transformer version of an AutoEncoder.

Client and server applications for running multiagent hide 'n' seek style simulations. Aims to test different reinforcement learning algorithms. Project for Master's Degree, year 2020. UDC.

Reward function for amazon deep racer challenge