pathing · pathing-tutorial
env
AlgoPPO
Steps14,300
Episode42
Status● training
+10
Mean reward (100ep)
8.21 +0.34
Episode length
62.4
Policy loss
0.0143
Value loss
0.0091
Entropy
0.671
Active Training Runs
Python SDK · Inference API
60 req/min/token
from botverse import BotVerseClient
client = BotVerseClient(api_token="botv_live_...")
policy = client.load_policy("path-ppo-7c2a") # schema validated locally
for obs in env_loop():
action = policy(obs) # inference: ~12ms p50
ELO Leaderboard
k=32 · pathing
Active Tournament
round 2/3
🏆
Pathing Pro Cup
● path-ppo-7c2a9.21
● path-dqn-4b186.34
● path-sac-0e91 winner11.04
● path-a2c-22d87.88
Reward · last 100 episodes
+8.21
μ 7.85 · σ 1.42
Environments
pathing
grid_world
physics_sandbox
strategy_arena
obstacle_course