Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution

Vihang P. Patil, Markus Hofmarcher, Marius-Constantin Dinu +5

Reinforcement learning algorithms require many samples when solving complex hierarchical tasks with sparse and delayed rewards. For such complex tasks, the recently proposed RUDDER…