Forget and Grow (FoG) combines decaying replay weights for old experiences with progressive critic-network expansion to improve continuous-control reinforcement learning, beating BRO, SimBa, and TD-MPC2 on most of 41 benchmark tasks.
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A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control
Forget and Grow (FoG) combines decaying replay weights for old experiences with progressive critic-network expansion to improve continuous-control reinforcement learning, beating BRO, SimBa, and TD-MPC2 on most of 41 benchmark tasks.