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07/04/2022
General Policy Evaluation and Improvement by Learning to Identify Few But Crucial States
Learning to evaluate and improve policies is a core problem of Reinforce...
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02/26/2020
Policy Evaluation Networks
Many reinforcement learning algorithms use value functions to guide the ...
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11/16/2018
The Barbados 2018 List of Open Issues in Continual Learning
We want to make progress toward artificial general intelligence, namely ...
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11/30/2017
Learnings Options End-to-End for Continuous Action Tasks
We present new results on learning temporally extended actions for conti...
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09/14/2017
When Waiting is not an Option : Learning Options with a Deliberation Cost
Recent work has shown that temporally extended actions (options) can be ...
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06/07/2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
We explore deep reinforcement learning methods for multi-agent domains. ...
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04/18/2017
Investigating Recurrence and Eligibility Traces in Deep Q-Networks
Eligibility traces in reinforcement learning are used as a bias-variance...
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09/16/2016