Sreejith Balakrishnan

Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization

The problem of inverse reinforcement learning (IRL) is relevant to a variety of tasks including value alignment and robot learning from demonstration. Despite significant algorithmic contributions in recent years, IRL remains an ill-posed problem at its core; multiple reward functions coincide with…