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tqc-Walker2d-v3

Reinforcement Learning
stable-baselines3
Walker2d-v3
deep-reinforcement-learning
Eval Results
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tqc-Walker2d-v3
File size: 970 Bytes 
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!!python/object/apply:collections.OrderedDict
- - - algo
    - tqc
  - - env
    - Walker2d-v3
  - - env_kwargs
    - null
  - - eval_episodes
    - 20
  - - eval_freq
    - 10000
  - - gym_packages
    - []
  - - hyperparams
    - use_sde: false
  - - log_folder
    - logs/
  - - log_interval
    - 10
  - - n_eval_envs
    - 5
  - - n_evaluations
    - 20
  - - n_jobs
    - 1
  - - n_startup_trials
    - 10
  - - n_timesteps
    - 1000000
  - - n_trials
    - 10
  - - no_optim_plots
    - false
  - - num_threads
    - 2
  - - optimization_log_path
    - null
  - - optimize_hyperparameters
    - false
  - - pruner
    - median
  - - sampler
    - tpe
  - - save_freq
    - -1
  - - save_replay_buffer
    - false
  - - seed
    - 594371
  - - storage
    - null
  - - study_name
    - null
  - - tensorboard_log
    - ''
  - - trained_agent
    - ''
  - - truncate_last_trajectory
    - true
  - - uuid
    - true
  - - vec_env
    - dummy
  - - verbose
    - 1