tensortrade.agents.parallel.parallel_dqn_agent module

class tensortrade.agents.parallel.parallel_dqn_agent.ParallelDQNAgent(create_env, model=None)[source]

Bases: tensortrade.agents.agent.Agent

get_action(state, **kwargs)[source]
Return type:int
restore(path, **kwargs)[source]
save(path, **kwargs)[source]
train(n_steps=None, n_episodes=None, save_every=None, save_path=None, callback=None, **kwargs)[source]
update_networks(model)[source]
update_target_network()[source]