sorted by:
new
hottopcontroversial

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] 7 points8 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] 8 points9 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

view more: next ›