| set -e | |
| USE_GRPO="algorithm.adv_estimator=grpo" | |
| USE_PPO="algorithm.adv_estimator=gae" | |
| USE_BASE="algorithm.kl_ctrl.kl_coef=0.0 actor_rollout_ref.actor.kl_loss_coef=0.0 actor_rollout_ref.actor.clip_ratio_high=0.28 actor_rollout_ref.rollout.rollout_filter_ratio=0.25" | |
| python train.py --config-name _3_frozen_lake \ | |
| system.CUDA_VISIBLE_DEVICES="'0,1,2,3,4,5,6,7'" \ | |
| trainer.project_name=ragen_latest_qwen2.5_3B_it_explict \ | |
| trainer.n_gpus_per_node=8 \ | |
| model_path= \ | |
| trainer.save_freq=200 \ | |
| trainer.experiment_name=frozenlake_slippery $USE_PPO $USE_BASE |