Model-free and Model-based Reinforcement Learning, the Intersection of Learning and Planning.
International Joint Conference on Autonomous Agents and Multi-agent Systems(2022)
摘要
My doctoral dissertation is intended as the compound of four publications considering: structure and randomness in planning and reinforcement learning, continuous control with ensemble deep deterministic policy gradients, toddler-inspired active representation learning, and large-scale deep reinforcement learning costs.
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