Commit Graph

5 Commits

Author SHA1 Message Date
wraitii df18102e96 Add an 'Evaluate' RL endpoint, intended for dynamic game balancing
This adds a new endpoint to the RL interface for evaluating custom
JavaScript. When combined with the ability to create arbitrary
modifiers, this provides the required functionality for exploring
quantitative game balancing.

Patch By: irishninja
Fixes #5981

Differential Revision: https://code.wildfiregames.com/D3479
This was SVN commit r24962.
2021-02-28 12:16:32 +00:00
Stan e3c44f0bde Fix more issues with the RLInterface
Patch by: @Stan, @irishninja
Differential Revision: https://code.wildfiregames.com/D3385
This was SVN commit r24839.
2021-02-05 12:23:02 +00:00
wraitii 6a67e9a52d Address concerns in 5473393e30 (RL interface)
Fixes 5473393e30.

This:
- Puts RL code under the RL namespace to avoid name collisions
- Avoids usage of new/delete
- Adds more documentation
- Does general cleanup (const-correctness, move semantics, argument
types, early returns...)

Patch by: irishninja
Comments by: Vladislavbelov, wraitii
Differential Revision: https://code.wildfiregames.com/D2947
This was SVN commit r24631.
2021-01-15 16:30:05 +00:00
wraitii 369c2e8801 Further header & precompiled cleanup, fix no-PCH builds.
GUIObjectBase is made a IGUIObject* to avoid including those headers
un-necessarily. Subsequent diffs ought to clean up the various of
pointers for that with a similar type with reference semantics.

Also:
- Add standard C and C++ headers (mostly cstring for memcpy, string and
vector) where needed.
- Swap out some includes for forward declarations
- Clean up un-necessary boost includes in precompiled and other headers.
- Clean up precompiled headers, including fewer things.
- Move ACPI to the windows-specific folder as it's included there only
and mostly specific to that platform.

Thanks Stan for the testing.

Differential Revision: https://code.wildfiregames.com/D3129
This was SVN commit r24352.
2020-12-09 14:39:14 +00:00
wraitii 5473393e30 Add an interface for Reinforcement Learning.
Implement a simple HTTP server to start games, receive the gamestate and
pass commands to the simulation.
This is mainly intended for training reinforcement learning agents in 0
AD. As such, a python client and a small example are included.

This option can be enabled using the -rl-interface flag.

Patch by: irishninja
Reviewed By: wraitii, Itms
Fixes #5548

Differential Revision: https://code.wildfiregames.com/D2199
This was SVN commit r23917.
2020-08-01 10:52:59 +00:00