1+ [DEFAULT]
2+ kpi_kwargs = {
3+ " env_name" : " ai4realnet_small" ,
4+ " acceptance_threshold" : 200,
5+ " finetune_budget" : 100000,
6+ " save_path" : " results/ai4realnet_small"
7+ }
8+
9+ train_kwargs = {
10+ " model_name" : " PPO_SB3" ,
11+ " train_steps" : 1000,
12+ " save_freq" : 5000,
13+ " load_path" : " trained_models/ai4realnet_small/PPO_SB3/PPO_SB3.zip" ,
14+ " save_path" : " trained_models/ai4realnet_small/PPO_SB3_FINETUNE" ,
15+ }
16+
17+ eval_kwargs = {
18+ " n_eval_episodes" : 50,
19+ " render" : False,
20+ " deterministic" : True,
21+ " return_episode_rewards" : True,
22+ }
23+
24+ [EXPERT_AGENT]
25+ kpi_kwargs = {
26+ " env_name" : " ai4realnet_small" ,
27+ " acceptance_threshold" : 200,
28+ " finetune_budget" : 100000,
29+ " save_path" : " results/ai4realnet_small/expert_agent"
30+ }
31+
32+ train_kwargs = {
33+ " train_steps" : 5000,
34+ " n_eval_episodes" : 2,
35+ " save_freq" : 5000,
36+ " load_path" : " trained_models/ai4realnet_small/expert_agent/EXPERT_AGENT.zip" ,
37+ " save_path" : " trained_models/ai4realnet_small/expert_agent/EXPERT_AGENT_FINETUNE" ,
38+ " load_path_fine_tune" : " trained_models/ai4realnet_small/expert_agent/EXPERT_AGENT_FINETUNE/PPO_SB3.zip"
39+ }
40+
41+ eval_kwargs = {
42+ " nb_episode" : 2,
43+ " verbose" : True,
44+ " logs_path" : " trained_models/ai4realnet_small/expert_agent/eval_logs" ,
45+ " nb_process" : 1,
46+ }
47+ ; eval_kwargs = {
48+ ; "n_eval_episodes": 50,
49+ ; "render": False,
50+ ; "deterministic": True,
51+ ; "return_episode_rewards": True,
52+ ; "logs_path": "trained_models/ai4realnet_small/expert_agent"
53+ ; }
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