SirStone 30cda871cc research: RL algorithm choice — recommend PPO for Tank Royale bot ...

Evaluates A2C, PPO, TD3, SAC, DDPG against the constraints: short
on-policy episodes, no RL library, few-hundred-ms training window.
PPO wins on implementation simplicity and stability at this scale.

Closes #3

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-08-15 22:07:47 +02:00

docs/agents

chore: add agent skills configuration

2026-08-15 19:26:43 +02:00

research

research: RL algorithm choice — recommend PPO for Tank Royale bot

2026-08-15 22:07:47 +02:00

CLAUDE.md

chore: add agent skills configuration

2026-08-15 19:26:43 +02:00

S

Description

No description provided

104 MiB

Languages

Nim 73.7%

Python 18%

Shell 3.7%

Java 3.5%

HTML 1%

Other 0.1%