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Successor Feature Sets: Generalizing Successor Representations Across Policies
Successor-style representations have many advantages for reinforcement l...
03/03/2021 ∙ by Kianté Brantley, et al. ∙
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Constrained episodic reinforcement learning in concave-convex and knapsack settings
We propose an algorithm for tabular episodic reinforcement learning with...
06/09/2020 ∙ by Kianté Brantley, et al. ∙
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Active Imitation Learning with Noisy Guidance
Imitation learning algorithms provide state-of-the-art results on many s...
05/26/2020 ∙ by Kianté Brantley, et al. ∙
9
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Reinforcement Learning with Convex Constraints
In standard reinforcement learning (RL), a learning agent seeks to optim...
06/21/2019 ∙ by Sobhan Miryoosefi, et al. ∙
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Non-Monotonic Sequential Text Generation
Standard sequential generation methods assume a pre-specified generation...
02/05/2019 ∙ by Sean Welleck, et al. ∙
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The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task
We describe the University of Maryland machine translation systems submi...
08/03/2017 ∙ by Amr Sharaf, et al. ∙
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