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10/25/2022
In-context Reinforcement Learning with Algorithm Distillation
We propose Algorithm Distillation (AD), a method for distilling reinforc...
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06/02/2022
Uniqueness and Complexity of Inverse MDP Models
What is the action sequence aa'a" that was likely responsible for reachi...
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10/28/2021
Wasserstein Distance Maximizing Intrinsic Control
This paper deals with the problem of learning a skill-conditioned policy...
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07/29/2021
Learning more skills through optimistic exploration
Unsupervised skill learning objectives (Gregor et al., 2016, Eysenbach e...
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12/14/2020
Relative Variational Intrinsic Control
In the absence of external rewards, agents can still learn useful behavi...
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10/29/2019
Generalization of Reinforcement Learners with Working and Episodic Memory
Memory is an important aspect of intelligence and plays a role in many d...
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06/12/2019
Fast Task Inference with Variational Intrinsic Successor Features
It has been established that diverse behaviors spanning the controllable...
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11/28/2018
Unsupervised Control Through Non-Parametric Discriminative Rewards
Learning to control an environment without hand-crafted rewards or exper...
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10/18/2018