Review for NeurIPS paper: Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control

Additional Feedback: Describing RL as'de facto' approach to complex tasks could be phrased a bit more humble. Many other approaches address'complex tasks' and even if we limit ourselves to continuous control tasks, there is a considerable community working on optimal control which should not be ignored. Similarly there is significant work on multitask RL such that'scant attention has been paid' is in part incorrect. Using the name ''ideal' solution" for independent solution of individual tasks is incorrect as no transfer can happen between the tasks which can improve performance. Given the description mentions that TD3 uses 2 critic networks, it would be helpful to mention their purpose for more consistency.