Views
No views yet
pip install rl_zoo3# Download model and save it into the logs/ folder
python -m rl_zoo3.load_from_hub --algo tqc --env PandaSlide-v1 -orga qgallouedec -f logs/
python -m rl_zoo3.enjoy --algo tqc --env PandaSlide-v1 -f logs/pip install rl_zoo3), from anywhere you can do:python -m rl_zoo3.load_from_hub --algo tqc --env PandaSlide-v1 -orga qgallouedec -f logs/
python -m rl_zoo3.enjoy --algo tqc --env PandaSlide-v1 -f logs/python -m rl_zoo3.train --algo tqc --env PandaSlide-v1 -f logs/
# Upload the model and generate video (when possible)
python -m rl_zoo3.push_to_hub --algo tqc --env PandaSlide-v1 -f logs/ -orga qgallouedec1OrderedDict([('batch_size', 2048),
2 ('buffer_size', 1000000),
3 ('env_wrapper', 'sb3_contrib.common.wrappers.TimeFeatureWrapper'),
4 ('gamma', 0.95),
5 ('learning_rate', 0.001),
6 ('n_timesteps', 3000000.0),
7 ('policy', 'MultiInputPolicy'),
8 ('policy_kwargs', 'dict(net_arch=[512, 512, 512], n_critics=2)'),
9 ('replay_buffer_class', 'HerReplayBuffer'),
10 ('replay_buffer_kwargs',
11 "dict( goal_selection_strategy='future', n_sampled_goal=4, )"),
12 ('tau', 0.05),
13 ('normalize', False)]){'render': True}