garage.np.algos.meta_rl_algorithm module

Interface of Meta-RL ALgorithms.

class MetaRLAlgorithm[source]

Bases: garage.np.algos.rl_algorithm.RLAlgorithm, abc.ABC

Base class for Meta-RL Algorithms.

adapt_policy(exploration_policy, exploration_trajectories)[source]

Produce a policy adapted for a task.

Parameters:
  • exploration_policy (garage.Policy) – A policy which was returned from get_exploration_policy(), and which generated exploration_trajectories by interacting with an environment. The caller may not use this object after passing it into this method.
  • exploration_trajectories (garage.TrajectoryBatch) – Trajectories to adapt to, generated by exploration_policy exploring the environment.
Returns:

A policy adapted to the task represented by the

exploration_trajectories.
Return type:

garage.Policy
get_exploration_policy()[source]

Return a policy used before adaptation to a specific task.

Each time it is retrieved, this policy should only be evaluated in one task.

Returns:
The policy used to obtain samples that are later
used for meta-RL adaptation.
Return type:garage.Policy