run:
  experiment_name: ismcts-default
  max_iterations: 500
  seed: 1
  device: cuda
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: 5.0
  max_depth: 200
  parallel_simulations: 64
  virtual_loss_value: 5.0
  eval_n_simulations: 16
  rollout_policy: heuristic_balanced
  use_rollout_value: false
  root_dirichlet_alpha: 0.3
  root_dirichlet_epsilon: 0.4
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
  num_workers: 8
  worker_device: cuda
optimization:
  learning_rate: 0.0003
  grad_clip: 5.0
checkpoint:
  save_every: 20
  save_latest: true
evaluation:
  eval_every: 5
  games: 5
  opponents: [random, discard-only, heuristic-cautious]
  max_steps: 500
  num_workers: 8