 |
| A significant proportion
of our time in this last period has been continued work
in MCTS (Monte Carlo Tree Search). Our testbed for this
has been the game Spades but our eye has been on finding
a good generic formula for driving this for porting to
all future card games. This has proved a generally good
generic method but has characteristics that need mastering
to make it a good portable method, so has taken longer
than expected. One article this month looks at what our
partners at York have discovered in this domain. The other
article takes a sideways look at some lessons learned
from our development history. |
|
|
|
 |
|
Article:
Reducing the burden of knowledge: Simulation-based methods in imperfect information games: The York group digs deep |
|
|
Article: Lessons from the Road – Championship level AI development:
The long road to a winning formula. |
 |
|
The 3rd Party Engine resource: AI Factory
has many game engines, all with the same interface for
every platform. |
 |
|
Custom AI for 3rd parties: With our background
in AI, we are involved in producing customised AI components
for 3rd party developers. |
 |
|
Quality 3D products: We already have a range
of very high quality 3D products with realistic visual
effects. |
 |
|
News round-up: General news about
company activities and new products. |
 |
|
AI Factory home:
This links through to the main AI Factory website. From
there you can review our products and access our engineering
documentation. |
Mixing
inference and MCTS