Plasticity Loss in Deep Reinforcement Learning: A Survey

Timo Klein, Christoph Luther, Manus McAuliffe +3

Plasticity refers to a network's ability to adapt to changing data distributions, which is crucial for the successful training of deep reinforcement learning agents. Loss of plasti…