TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning

ICLR 2018 Gregory FarquharTim RocktäschelMaximilian IglShimon Whiteson

Combining deep model-free reinforcement learning with on-line planning is a promising approach to building on the successes of deep RL. On-line planning with look-ahead trees has proven successful in environments where transition models are known a priori... (read more)

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