Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator

Deep Reinforcement Learning for RogueLite Games

The system generates knowledge bases that can be used by expert systems. In this case, the bases are related to the production processes of the food industry.

Multi-agent reinforcement learning in Unity’s Soccer Twos environment using POCA. Features enhanced observation memory, custom reward shaping, and optimized training configurations. Analyzes ELO performance, computational efficiency, and training trade-offs. Based on Dennis Soemers’ ML-Agents fork.