Game Playing Agents; Causality, World Models; Problem and Solution Spaces; RL, Combinatorial Optimization; Heuristics, Tree Search, MCTS, Self-Play; ROS; Physics; Multi-Agent Systems; Mental States and Behavior ...

[Twenkid]

A longer title: Video Games, Board Games, Game Playing Agents, Causality Representation and Modeling, World Model Representation and Modeling, Problem Space Representations, Combinatorial Optimization, Heuristics, Tree Search, Problem and Solution Space Traversal, Monte-Carlo Tree Search, Self-Play Learning, Machine Learning for Games, Navigation and Operation in Virtual and Real Worlds, Robot Operating System, Robot Simulations, Physics Simulations, Game Engines for Simulations, OpenAI/Gymnasium, Arcade Learning Environment, Reinforcement Learning RL - Model Based and Conventional, DQN, Deep Q-Learning, Agent Behavior Modeling, Human Behavior and Decision-Making Representation and Modeling, Multi-Agent Systems, Intention Modeling and Planning etc.

Possible initial tasks:

1. Start simple experiments with game playing agents:
   https://github.com/Farama-Foundation/Gymnasium
   https://github.com/mgbellemare/Arcade-Learning-Environment

2. Develop a custom-agent interface to interact visually and with simulated keyboard with console emulators for NES, Genesis and other games and GUI-interaction*.

2*. There were such experiments and plans in "Sacred Computer" since a long time, within the overall general incremental approach, which is one of the goals of my AGI research program and directions, but the implementation of these ideas was not expanded and integrated into the target goals yet.
To Be Done.