run:
  experiment_name: ismcts-default
  max_iterations: 100
  seed: 1
  device: auto
rules:
  n_colors: 5
  n_ranks: 9
  min_rank: 2
  n_handshakes: 3
  hand_size: 8
  expedition_penalty: -20
  bonus_threshold: 8
  bonus_amount: 20
encoding:
  derived_playability: true
  slot_aware_playability: true
network:
  kind: mlp
  hidden_size: 512
  num_layers: 3
  activation: relu
mcts:
  n_simulations: 50
  c_puct: 1.5
  max_depth: 200
  parallel_simulations: 8
  virtual_loss_value: 1.0
temperature:
  training: 1.0
  eval: 0.0
training:
  games_per_iter: 10
  gradient_steps_per_iter: 10
  batch_size: 128
  replay_capacity: 100000
  interleave_games: 8
  interleave_max_batch: 64
  use_inference_server: true
  inference_server_max_batch: 128
  inference_server_batch_timeout_ms: 10.0
optimization:
  learning_rate: 0.0003
  grad_clip: 5.0
checkpoint:
  save_every: 10
  save_latest: true
evaluation:
  eval_every: 10
  games: 20
  opponents: [random, discard-only, heuristic-cautious]
  max_steps: 10000
  num_workers: 1