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02/02/2023
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning
Pre-training with offline data and online fine-tuning using reinforcemen...
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01/28/2022
Do You Need the Entropy Reward (in Practice)?
Maximum entropy (MaxEnt) RL maximizes a combination of the original task...
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01/28/2022
Towards Safe Reinforcement Learning with a Safety Editor Policy
We consider the safe reinforcement learning (RL) problem of maximizing u...
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01/24/2022
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning
Standard model-free reinforcement learning algorithms optimize a policy ...
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04/13/2021
TASAC: Temporally Abstract Soft Actor-Critic for Continuous Control
We propose temporally abstract soft actor-critic (TASAC), an off-policy ...
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03/07/2021
MetaView: Few-shot Active Object Recognition
In robot sensing scenarios, instead of passively utilizing human capture...
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01/16/2021
Hierarchical Reinforcement Learning By Discovering Intrinsic Options
We propose a hierarchical reinforcement learning method, HIDIO, that can...
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07/22/2019
Why Build an Assistant in Minecraft?
In this document we describe a rationale for a research program aimed at...
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07/19/2019
CraftAssist: A Framework for Dialogue-enabled Interactive Agents
This paper describes an implementation of a bot assistant in Minecraft, ...
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07/07/2019
EPNAS: Efficient Progressive Neural Architecture Search
In this paper, we propose Efficient Progressive Neural Architecture Sear...
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06/06/2019
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
The success of lottery ticket initializations (Frankle and Carbin, 2019)...
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06/06/2019
Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP
The lottery ticket hypothesis proposes that over-parameterization of dee...
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06/12/2018
Resource-Efficient Neural Architect
Neural Architecture Search (NAS) is a laborious process. Prior work on a...
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05/22/2018
Guided Feature Transformation (GFT): A Neural Language Grounding Module for Embodied Agents
Recently there has been a rising interest in training agents, embodied i...
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04/26/2018
Interactive Language Acquisition with One-shot Visual Concept Learning through a Conversational Game
Building intelligent agents that can communicate with and learn from hum...
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01/31/2018
Interactive Grounded Language Acquisition and Generalization in a 2D World
We build a virtual agent for learning language in a 2D maze-like world. ...
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05/28/2017
Listen, Interact and Talk: Learning to Speak via Interaction
One of the long-term goals of artificial intelligence is to build an age...
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03/28/2017
A Deep Compositional Framework for Human-like Language Acquisition in Virtual Environment
We tackle a task where an agent learns to navigate in a 2D maze-like env...
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08/25/2015
Robot Language Learning, Generation, and Comprehension
We present a unified framework which supports grounding natural-language...
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06/05/2015
Sentence Directed Video Object Codetection
We tackle the problem of video object codetection by leveraging the weak...
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11/14/2014
A Faster Method for Tracking and Scoring Videos Corresponding to Sentences
Prior work presented the sentence tracker, a method for scoring how well...
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06/21/2013