Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions

no code implementations • NeurIPS 2012 • Jaedeug Choi, Kee-Eung Kim

We present a nonparametric Bayesian approach to inverse reinforcement learning (IRL) for multiple reward functions.

reinforcement-learning Reinforcement Learning (RL)

MAP Inference for Bayesian Inverse Reinforcement Learning

no code implementations • NeurIPS 2011 • Jaedeug Choi, Kee-Eung Kim

The difficulty in inverse reinforcement learning (IRL) arises in choosing the best reward function since there are typically an infinite number of reward functions that yield the given behaviour data as optimal.

reinforcement-learning Reinforcement Learning (RL)