
Beyond Prioritized Replay: Sampling States in ModelBased RL via Simulated Priorities
Modelbased reinforcement learning (MBRL) can significantly improve samp...
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Maxmin Qlearning: Controlling the Estimation Bias of Qlearning
Qlearning suffers from overestimation bias, because it approximates the...
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An implicit function learning approach for parametric modal regression
For multivalued functions—such as when the conditional distribution on ...
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Frequencybased Searchcontrol in Dyna
Modelbased reinforcement learning has been empirically demonstrated as ...
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Deep Tile Coder: an Efficient Sparse Representation Learning Approach with applications in Reinforcement Learning
Representation learning is critical to the success of modern largescale...
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Hill Climbing on Value Estimates for Searchcontrol in Dyna
Dyna is an architecture for modelbased reinforcement learning (RL), whe...
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ActorExpert: A Framework for using ActionValue Methods in Continuous Action Spaces
Valuebased approaches can be difficult to use in continuous action spac...
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Reinforcement Learning with FunctionValued Action Spaces for Partial Differential Equation Control
Recent work has shown that reinforcement learning (RL) is a promising ap...
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Organizing Experience: A Deeper Look at Replay Mechanisms for Samplebased Planning in Continuous State Domains
Modelbased strategies for control are critical to obtain sample efficie...
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Accelerated Gradient Temporal Difference Learning
The family of temporal difference (TD) methods span a spectrum from comp...
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Incremental Truncated LSTD
Balancing between computational efficiency and sample efficiency is an i...
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Yangchen Pan
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