Connect4-CK / metadata /source_config.yaml
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Update connect4 checkpoint metadata
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game: connect4
algo: efficientzero
wandb_project: crpt
wandb_enabled: true
checkpoints:
save: true
dir: null
every_env_steps: 10000
best_ckpt_strategy: raw
best_ckpt_ema_alpha: 0.3
best_ckpt_min_episodes: 20
max_checkpoints_to_keep: 3
load_from: /home/molfetta/combinatorial_reasoning_post_training/models/main5_hf_bot_mode_200k_collector_tuned_20260522/connect4/attempt-01_260522_142412/ckpt/ckpt_last.pth.tar
evaluation:
opponent_type: env_bot
fixed_bot_evaluator:
type: arena
seat_swap: true
every_train_iters: null
every_env_steps: 10000
previous_best_checkpoint:
path: null
selector: best
update_policy: on_new_best
num_simulations: null
n_evaluator_episode: null
evaluator_env_num: null
promotion_threshold: 0.0
fallback_to_env_bot: false
runtime_battle_mode: eval_mode
opponent_regime: meaningful_fixed_bot
opponent_impl: handwritten:lightzero_rule
primary_metric: win_rate_vs_fixed_bot
bot_strength_tier: moderate
bot_deterministic: false
requires_paired_audit: false
meaningful_fixed_bot: true
env:
collector_env_num: 32
evaluator_env_num: 20
n_evaluator_episode: 20
battle_mode: play_with_bot_mode
bot_action_type: rule
prob_random_action_in_bot: 0.0
battle_mode_in_simulation_env: self_play_mode
extra_config:
collector_bot_mode_seat_swap: true
stop_value: 2
defaults:
seed: 0
max_env_step: 1000000
num_simulations: 50
batch_size: 256
learning_rate: 0.003
piecewise_decay_lr_scheduler: false
update_per_collect: 25
replay_buffer_size: 100000
discount_factor: 1
game_segment_length: 21
td_steps: 21
reanalyze_ratio: 0.0
num_unroll_steps: 5
model:
num_res_blocks: 1
num_channels: 64