Human-level performance in 3D multiplayer games with population-based RL
science.sciencemag.org
Human-level performance in 3D multiplayer games with population-based RL
1–10 of 16 posts
Re: Human-level performance in 3D multiplayer games with population-based RL
#2I feel problem definition is underappreciated in current ml world and the effort is put into the ml methods. People has been able to tackle almost any problem well defined but these are usually simple in comparison to true ai so we still get "stupid" agents. What problem is the test to true ai?
Re: Human-level performance in 3D multiplayer games with population-based RL
#3I feel problem definition is underappreciated in current ml world and the effort is put into the ml methods. People has been able to tackle almost any problem well defined but these are usually simple in comparison to true ai so we still get "stupid" agents. What problem is the test to true ai?
This paper would seem to be a fairly broad based and complex set of capabilities to learn and accomplish, including both collaboration and exceeding the performance of high skill humans at a highly skill based activity. Is there something you feel is missing from the task in this paper?
Re: Human-level performance in 3D multiplayer games with population-based RL
#4I feel problem definition is underappreciated in current ml world and the effort is put into the ml methods. People has been able to tackle almost any problem well defined but these are usually simple in comparison to true ai so we still get "stupid" agents. What problem is the test to true ai?
This paper would seem to be a fairly broad based and complex set of capabilities to learn and accomplish, including both collaboration and exceeding the performance of high skill humans at a highly skill based activity. Is there something you feel is missing from the task in this paper?
How much would the agent's skill level decline, and how much training would be required to recover if, for example, the game were reskinned? How does the skill in this one game mode translate into others?
Stating the critique more directly: in what way does the expertise demonstrated mirror the kind of expertise possessed by a similar level human ELO player?
If would seem a really shallow kind of expertise, if it didn't translate into some competence in very similar games.
Re: Human-level performance in 3D multiplayer games with population-based RL
#5Earlier quoted context omitted.
This paper would seem to be a fairly broad based and complex set of capabilities to learn and accomplish, including both collaboration and exceeding the performance of high skill humans at a highly skill based activity. Is there something you feel is missing from the task in this paper?
How much would the agent's skill level decline, and how much training would be required to recover if, for example, the game were reskinned? How does the skill in this one game mode translate into others? Stating the critique more directly: in what way does the expertise demonstrated mirror the kind of expertise possessed by a similar level human ELO player? If would seem a really shallow kind of expertise, if it did…
The article discusses a wide range of what constitute significant conceptual mappings discovered autonomously. This work was trained on a single game with a single art direction. The AI can generalize to new maps it has not seen before within that style of art direction, including reliably beating expert human players on maps that are new to both human and AI. That is a significant generalization. The technique should be generalizable to other styles of skinning or different art direction in other games, but there is no way for the the AI to have learned that yet in this experiment because the AI was only ever exposed to a single game here. Over time this technique undoubtedly will be extended to multiple games with different styles of art direction, the challenge there being less on the AI/machine learning side and more on the effort required to hook up multiple games for use in this type of training environment.
Re: Human-level performance in 3D multiplayer games with population-based RL
#6What is deepmind going to do once they solve all video games? It seems like they are leveraging the massive economic demand for entertaining simulations of the world. But once they hit the limit of that they will have to make their own simulations.
Re: Human-level performance in 3D multiplayer games with population-based RL
#7What is deepmind going to do once they solve all video games? It seems like they are leveraging the massive economic demand for entertaining simulations of the world. But once they hit the limit of that they will have to make their own simulations.
Deepmind can always transfer learning to the robotics industry, if they haven't already. There's bound to be a space they can fill with the progress they've made in these video game reinforcement learning tasks. Maybe aiding in medical discoveries?
Re: Human-level performance in 3D multiplayer games with population-based RL
#8What is deepmind going to do once they solve all video games? It seems like they are leveraging the massive economic demand for entertaining simulations of the world. But once they hit the limit of that they will have to make their own simulations.
Deepmind can always transfer learning to the robotics industry, if they haven't already. There's bound to be a space they can fill with the progress they've made in these video game reinforcement learning tasks. Maybe aiding in medical discoveries?
The sim to real gap is very large and it honestly seems to me like maybe most of the work is not in the RL part of it but rather instrumenting the robot properly, setting up the right simulation, figuring out how to scale up the real world learning. Haven't seen much robotics stuff come out of Deepmind yet, maybe for these reasons.
Re: Human-level performance in 3D multiplayer games with population-based RL
#9Do they handicap the AI to have sub-perfect aiming?
3D shooters and Quake in particular are aiming games above. If you aim perfectly, you will always win against humans.
Adding randomness to aiming is the way to provide fair comparison to give any conclusion regarding true AI features.
Re: Human-level performance in 3D multiplayer games with population-based RL
#10What is deepmind going to do once they solve all video games? It seems like they are leveraging the massive economic demand for entertaining simulations of the world. But once they hit the limit of that they will have to make their own simulations.
AI in an RTS, like Deepmind in Starcraft, can simply issue more commands and react faster than a human - since game information can be gleaned directly from the frame buffer, and instructions issued without going through the analogue of a mouse and keyboard.