rofunc.learning.RofuncRL.agents.mixline.physhoi_agent#

1.  Module Contents#

1.1.  Classes#

PhysHOIAgent

PhysHOI agent

1.2.  API#

class rofunc.learning.RofuncRL.agents.mixline.physhoi_agent.PhysHOIAgent(cfg: omegaconf.DictConfig, observation_space: Optional[Union[int, Tuple[int], gym.Space, gymnasium.Space]], action_space: Optional[Union[int, Tuple[int], gym.Space, gymnasium.Space]], memory: Optional[Union[rofunc.learning.RofuncRL.utils.memory.Memory, Tuple[rofunc.learning.RofuncRL.utils.memory.Memory]]] = None, device: Optional[Union[str, torch.device]] = None, experiment_dir: Optional[str] = None, rofunc_logger: Optional[rofunc.logger.BeautyLogger] = None)#

Bases: rofunc.learning.RofuncRL.agents.online.ppo_agent.PPOAgent, rofunc.learning.RofuncRL.agents.base_agent.BaseAgent

PhysHOI agent

Initialization

Parameters:

  • cfg – Configuration

  • observation_space – Observation space

  • action_space – Action space

  • memory – Memory for storing transitions

  • device – Device on which the torch tensor is allocated

  • experiment_dir – Directory where experiment outputs are saved

  • rofunc_logger – Rofunc logger

store_transition(states: torch.Tensor, actions: torch.Tensor, next_states: torch.Tensor, rewards: torch.Tensor, terminated: torch.Tensor, truncated: torch.Tensor, infos: torch.Tensor)#
bound_loss(mu)#
update_net()#

Update the network