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12/20/2022
Settling the Reward Hypothesis
The reward hypothesis posits that, "all of what we mean by goals and pur...
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03/01/2022
A Theory of Abstraction in Reinforcement Learning
Reinforcement learning defines the problem facing agents that learn to m...
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11/01/2021
On the Expressivity of Markov Reward
Reward is the driving force for reinforcement-learning agents. This pape...
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10/07/2021
Bad-Policy Density: A Measure of Reinforcement Learning Hardness
Reinforcement learning is hard in general. Yet, in many specific environ...
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05/14/2021
Control of mental representations in human planning
One of the most striking features of human cognition is the capacity to ...
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02/27/2021
Revisiting Peng's Q(λ) for Modern Reinforcement Learning
Off-policy multi-step reinforcement learning algorithms consist of conse...
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06/26/2020
What can I do here? A Theory of Affordances in Reinforcement Learning
Reinforcement learning algorithms usually assume that all actions are al...
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02/13/2020
The Efficiency of Human Cognition Reflects Planned Information Processing
Planning is useful. It lets people take actions that have desirable long...
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02/08/2020
Learning State Abstractions for Transfer in Continuous Control
Can simple algorithms with a good representation solve challenging reinf...
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01/15/2020
Lipschitz Lifelong Reinforcement Learning
We consider the problem of knowledge transfer when an agent is facing a ...
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03/02/2019
Discovering Options for Exploration by Minimizing Cover Time
One of the main challenges in reinforcement learning is solving tasks wi...
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12/03/2018
Mitigating Planner Overfitting in Model-Based Reinforcement Learning
An agent with an inaccurate model of its environment faces a difficult c...
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10/16/2018
Finding Options that Minimize Planning Time
While adding temporally abstract actions, or options, to an agent's acti...
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06/02/2017
Latent Attention Networks
Deep neural networks are able to solve tasks across a variety of domains...
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01/15/2017
Near Optimal Behavior via Approximate State Abstraction
The combinatorial explosion that plagues planning and reinforcement lear...
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01/15/2017
Agent-Agnostic Human-in-the-Loop Reinforcement Learning
Providing Reinforcement Learning agents with expert advice can dramatica...
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03/14/2016