Reinforced Imitation Learning by Free Energy Principle

no code implementations • 25 Jul 2021 • Ryoya Ogishima, Izumi Karino, Yasuo Kuniyoshi

Reinforcement Learning (RL) requires a large amount of exploration especially in sparse-reward settings.

Imitation Learning Reinforcement Learning (RL)

Combining Imitation and Reinforcement Learning with Free Energy Principle

no code implementations • 1 Jan 2021 • Ryoya Ogishima, Izumi Karino, Yasuo Kuniyoshi

Imitation Learning (IL) and Reinforcement Learning (RL) from high dimensional sensory inputs are often introduced as separate problems, but a more realistic problem setting is how to merge the techniques so that the agent can reduce exploration costs by partially imitating experts at the same time it maximizes its return.

Imitation Learning reinforcement-learning +1