single-shot-robot

Yonigoz's group workspace

Group: SAC

1-4

of 4

Tags

Notes

Author

josselin

State

Finished

Start time

May 27th, 2023 10:20:40 AM

Runtime

4h 53m 27s

Tracked hours

4h 53m 22s

Run path

single-shot-robot/PTSL_MTRL10-1M/db0tlgfq

Linux-5.15.0-1031-aws-x86_64-with-glibc2.10

Python version

3.8.0

Git repository

git clone https://github.com/JosselinSomervilleRoberts/mtrl.git

Git state

git checkout -b "SAC_4" 66338ab76fd42d02021d71b000b5382a8661fd7c

Command

main.py setup=metaworld agent=state_sac env=metaworld-mt10 agent.multitask.num_envs=10 agent.multitask.should_use_disentangled_alpha=True name=SAC_state setup.seed=4

System Hardware

CPU count	2
Logical CPU count	4
GPU count	1
GPU type	Tesla T4

Group

SAC

Config parameters are your model's inputs. Learn more

▶
Config parameters:{} 18 keys
- actor/hidden_dim:
  400
- actor/num_layer:
  3
- agent:
  "state_sac"
- agent/encoder_feature_dim:
  50
- agent/num_filters:
  0
- agent/num_layers:
  0
- batch_size:
  128
- encoder:
  "identity"
- eval_freq:
  10,000
- lr/actor:
  0.0003
- lr/alpha:
  0.0003
- lr/critic:
  0.0003
- lr/decoder:
  0.0003
- lr/encoder:
  0.0003
- num_eval_episodes:
  10
- num_tasks:
  10
- num_train_steps:
  1,000,000
- seed:
  4

Summary metrics are your model's outputs. Learn more

▶
Summary metrics:{} 32 keys
- Env 0/episode_reward_env_index_:
  422.7723859147929
- Env 0/success_env_index_:
  1
- Env 1/episode_reward_env_index_:
  270.3897320856035
- Env 1/success_env_index_:
  1
- Env 2/episode_reward_env_index_:
  98.49368550646264
- Env 2/success_env_index_:
  0
- Env 3/episode_reward_env_index_:
  158.76548328178393
- Env 3/success_env_index_:
  1
- Env 4/episode_reward_env_index_:
  59.4449701846364
- Env 4/success_env_index_:
  0
- Env 5/episode_reward_env_index_:
  229.8188428084774
- Env 5/success_env_index_:
  1
- Env 6/episode_reward_env_index_:
  269.5844493202684
- Env 6/success_env_index_:
  1
- Env 7/episode_reward_env_index_:
  36.49136742250262
- Env 7/success_env_index_:
  0
- Env 8/episode_reward_env_index_:
  49.4701194311615
- Env 8/success_env_index_:
  0
- Env 9/episode_reward_env_index_:
  117.88121903157234
- Env 9/success_env_index_:
  1
- Eval/episode:
  6,600
- Eval/episode_reward:
  165.03116280590288
- Eval/success:
  0.7
- Train/actor_entropy:
  1.350500432650248
- Train/actor_loss:
  -120.4098334757487
- Train/actor_target_entropy:
  -4
- Train/alpha_loss:
  -0.008528688189884026
- Train/batch_reward:
  1.123006812731425
- Train/critic_loss:
  62.42176340738932
- Train/duration:
  2.522890329360962
- Train/episode:
  6,666
- Train/success:
  0.6

This run produced these artifacts as outputs. Total: 1. Learn more

wandb-history

run-db0tlgfq-history:v0