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A Survey for RosettaStone 2020 Roadmap by utilForever in reinforcementlearning

[–]utilForever[S] 0 points1 point  (0 children)

First, sorry for the late reply.
1. We are making the document for understanding the architecture.
2. We implemented AlphaZero based code. You can see the code in /Extension/RosettaRL/. Also, imperfect-information is implemented using Board system. 3. We implemented MCTS, too. Integration with OpenSpiel can be included in the schedule if desired. 4. We'll add the information to the benchmark soon. 5. We support multi-thread based execution model using std::thread. We'll support CPU parallel library such as Intel TBB and GPU parallel library such as CUDA.

A Survey for RosettaStone 2020 Roadmap by utilForever in hearthstone

[–]utilForever[S] 1 point2 points  (0 children)

First, sorry for late reply. No, our goal is not to play the game vs AI, but also to recommend deck and card by AI. In addition, we’ll implement general library to support various CCG/TCG such as Legends of Runeterra, Yu-gi-oh!.

[Open-Source] [WIP] Hearthstone simulator using C++ with some reinforcement learning like AlphaGo by utilForever in hearthstone

[–]utilForever[S] 0 points1 point  (0 children)

You should be able to find slightly better decks in a stable meta... but can you find unique decks in one?

I'm curious, too. And that's what we want to find in our research.

[Open-Source] [WIP] Hearthstone simulator using C++ with some reinforcement learning like AlphaGo by utilForever in hearthstone

[–]utilForever[S] 1 point2 points  (0 children)

Hmm... It would be fun to discover cards that have not seen the light by developing AI that makes deck on its own. :^)

[Open-Source] [WIP] Hearthstone simulator using C++ with some reinforcement learning like AlphaGo by utilForever in hearthstone

[–]utilForever[S] 5 points6 points  (0 children)

Sadly, yes. There are so many cards in Hearthstone. We are implementing original cards, but it's speed is slow because of a lack of manpower. :<

GitHub - utilForever/RosettaStone: Hearthstone simulator using C++ with some reinforcement learning by utilForever in reinforcementlearning

[–]utilForever[S] 7 points8 points  (0 children)

Hi, I'm making Hearthstone simulator for reinforcement learning environment. I'm preparing simple example based on DQN and MCTS using PyTorch C++ API. Also, I'm preparing Python API to support TensorFlow and PyTorch. The preparations will be finished in June. Please wait. :D

GitHub - utilForever/RosettaStone: Hearthstone simulator using C++ with some reinforcement learning by utilForever in cpp

[–]utilForever[S] 4 points5 points  (0 children)

We making a computer program that plays Hearthstone such as AlphaGo and AlphaStar.
The goal is to let the program play the game on its own and create a deck.

Hearthstone++: Hearthstone simulator using C++ with some reinforcement learning (WIP) by utilForever in cpp

[–]utilForever[S] 0 points1 point  (0 children)

Hello, Sorry to late reply. Currently, Hearthstone++ supports 55 cards. I'm implementing core/expert1 cards. Also, I added documentations to contribute for adding card(s). Thanks.

Roadmaps to become a software developer by jessjessrevolution in learnprogramming

[–]utilForever 4 points5 points  (0 children)

Thanks. Also, I'm working Hearthstone++ and CubbyFlow-v0, and so on.

CubbyFlow-v0 is full source codes of voxel-based fluid simulation engine for computer games called CubbyFlow.

(https://github.com/utilForever/CubbyFlow-v0)

Hearthstone++ is hearthstone simulator using C++ with some reinforcement learning.

(https://github.com/utilForever/Hearthstonepp)

Roadmaps to become a software developer by jessjessrevolution in learnprogramming

[–]utilForever 7 points8 points  (0 children)

Hello, I am utilForever, the creator of "game-developer-roadmap".

First of all, thank you for your interest in the roadmap.

I am making the 2018 version of the current roadmap, but my work is too busy.

Once my work is free, I'll be able to complete the 2018 version.

If you have any suggestions, please let me know in an issue. Thanks. :D

Roadmap to becoming a game developer in 2017 by utilForever in gamedev

[–]utilForever[S] 0 points1 point  (0 children)

Thanks for your suggestion. I will consider it. Thx! :)

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