train_gail_merge_env.sh

#!/bin/bash

# train on cluster
python ./baselines/gail/parallel_carla_ray.py --host 10.5.36.216_10.5.36.216_10.5.36.216_10.5.36.216 --port 1409_1412_1415_1418 --algo trpo --sn --mode wp_obj --task train --res 1280x1024 --render --num_trajectories 100 --num_length 200 --episode_length 8 --g_step 1 --d_step 1 --d_model origin --train_mode all --batch_size 16 --policy_hidden_layer 2 --dis_max 1.3 --adversary_hidden_layer 1 --d_actv tanh --dim 3d --max_iters 1000 --D_skip 1 --A_skip 1 --d_lrate 0.00001 --scene all --region 5.5 --init_std 1.0 --spawn_mode random --seed 2 --save_per_iter 2 --sync --other_cars 6 --model_output DM --excute_mode short --curriculumn_threshold 10000000 --lanes 5 --p_pos 0.0 --actor_nums 4 --scenario --scenario_name Merge_Env --policy_entcoeff 0.0 --g_scratch_eps 0 --expert_path ../log/OverTake_TRPO_train.pkl-../log/OverTake_TRPO_curriculum.pkl-../log/OverTake_TRPO_train.pkl-../log/OverTake_TRPO_curriculum.pkl #--load_model_path ./checkpoint/20190826211037_trpo_GAIL.DMshortL5_ST_TL_KL40_TR_KMidlane30_KMidlane25_CTE0.0Vel1.01nenv_1SKIP_OtherLeadingVehicle_CurSp0STD1.0_Reg5.5_DLR1e-05_Batch16_all_G0.995.G_3.D_1.G_entcoeff_0.001.D_entcoeff_0.001.maxkl_0.01.seed_2/models/model10.ckpt