new_contents: import os
  from gymhelpers import ExperimentsManager
  
  env_name = "Acrobot-v1"
  gym_stats_dir_prefix = os.path.join('Gym_stats', env_name)
  figures_dir = 'Figures'
  api_key = '###'
  alg_id = '###'
  
  
  n_ep = 10000
  n_exps = 1
  
  expsman = ExperimentsManager(env_name=env_name, agent_value_function_hidden_layers_size=[256, 512],
                               figures_dir=figures_dir, discount=0.99, decay_eps=0.99, eps_min=1E-4, learning_rate=1E-3,
                               decay_lr=False, max_step=500, replay_memory_max_size=1000000, ep_verbose=False,
                               exp_verbose=True, batch_size=64, upload_last_exp=True, double_dqn=False,
                               target_params_update_period_steps=1000, replay_period_steps=4, min_avg_rwd=-78,
                               per_proportional_prioritization=True, per_apply_importance_sampling=True, per_alpha=0.2,
                               per_beta0=0.1,
                               results_dir_prefix=gym_stats_dir_prefix, gym_api_key=api_key, gym_algorithm_id=alg_id)
  
  expsman.run_experiments(n_exps=n_exps, n_ep=n_ep, stop_training_min_avg_rwd=-64, plot_results=False)
  
subject: Add an example main file.