183 citations · 474 across the 18 of their papers we have counts for
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stat.ML2022★ 1 cited
Generalised Policy Improvement with Geometric Policy Composition
Shantanu Thakoor, Mark Rowland, Diana Borsa +3
We introduce a method for policy improvement that interpolates between the greedy approach of value-based reinforcement learning (RL) and the full planning approach typical of mode…
cs.LG2022
The Phenomenon of Policy Churn
Tom Schaul, André Barreto, John Quan +1
We identify and study the phenomenon of policy churn, that is, the rapid change of the greedy policy in value-based reinforcement learning. Policy churn operates at a surprisingly…