Introduction of BeamRider-v5-ppo_atari_envpool_async_jax_scan_impalanet_machado-seed1
Model Details of BeamRider-v5-ppo_atari_envpool_async_jax_scan_impalanet_machado-seed1
(CleanRL)
PPO
Agent Playing
BeamRider-v5
This is a trained model of a PPO agent playing BeamRider-v5.
The model was trained by using
CleanRL
and the most up-to-date training code can be
found
here
.
Get Started
To use this model, please install the
cleanrl
package with the following command:
BeamRider-v5-ppo_atari_envpool_async_jax_scan_impalanet_machado-seed1 huggingface.co is an AI model on huggingface.co that provides BeamRider-v5-ppo_atari_envpool_async_jax_scan_impalanet_machado-seed1's model effect (), which can be used instantly with this cleanrl BeamRider-v5-ppo_atari_envpool_async_jax_scan_impalanet_machado-seed1 model. huggingface.co supports a free trial of the BeamRider-v5-ppo_atari_envpool_async_jax_scan_impalanet_machado-seed1 model, and also provides paid use of the BeamRider-v5-ppo_atari_envpool_async_jax_scan_impalanet_machado-seed1. Support call BeamRider-v5-ppo_atari_envpool_async_jax_scan_impalanet_machado-seed1 model through api, including Node.js, Python, http.
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cleanrl BeamRider-v5-ppo_atari_envpool_async_jax_scan_impalanet_machado-seed1 online free url in huggingface.co:
BeamRider-v5-ppo_atari_envpool_async_jax_scan_impalanet_machado-seed1 is an open source model from GitHub that offers a free installation service, and any user can find BeamRider-v5-ppo_atari_envpool_async_jax_scan_impalanet_machado-seed1 on GitHub to install. At the same time, huggingface.co provides the effect of BeamRider-v5-ppo_atari_envpool_async_jax_scan_impalanet_machado-seed1 install, users can directly use BeamRider-v5-ppo_atari_envpool_async_jax_scan_impalanet_machado-seed1 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
BeamRider-v5-ppo_atari_envpool_async_jax_scan_impalanet_machado-seed1 install url in huggingface.co: