SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards

This work proposes a simple alternative that still uses RL, but does not require learning a reward function, and can be implemented with a handful of minor modifications to any standard Q-learning or off-policy actor-critic algorithm, called soft Q imitation learning (SQIL).