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01/24/2023
Language-guided Task Adaptation for Imitation Learning
We introduce a novel setting, wherein an agent needs to learn a task fro...
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08/26/2022
CH-MARL: A Multimodal Benchmark for Cooperative, Heterogeneous Multi-Agent Reinforcement Learning
We propose a multimodal (vision-and-language) benchmark for cooperative ...
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06/05/2021
Zero-shot Task Adaptation using Natural Language
Imitation learning and instruction-following are two common approaches t...
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07/30/2020
PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards
Reinforcement learning (RL), particularly in sparse reward settings, oft...
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03/05/2019
Using Natural Language for Reward Shaping in Reinforcement Learning
Recent reinforcement learning (RL) approaches have shown strong performa...
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03/21/2017
Nonparametric Variational Auto-encoders for Hierarchical Representation Learning
The recently developed variational autoencoders (VAEs) have proved to be...
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04/25/2016