Daoming Lyu | DeepAI

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∙ 02/01/2022

Planner-Reasoner Inside a Multi-task Reasoning Agent

We consider the problem of multi-task reasoning (MTR), where an agent ca...

0 Daoming Lyu, et al. ∙

∙ 01/24/2022

TOPS: Transition-based VOlatility-controlled Policy Search and its Global Convergence

Risk-averse problems receive far less attention than risk-neutral contro...

0 Liangliang Xu, et al. ∙

∙ 08/13/2021

TDM: Trustworthy Decision-Making via Interpretability Enhancement

Human-robot interactive decision-making is increasingly becoming ubiquit...

0 Daoming Lyu, et al. ∙

∙ 09/14/2020

Variance-Reduced Off-Policy Memory-Efficient Policy Search

Off-policy policy optimization is a challenging problem in reinforcement...

0 Daoming Lyu, et al. ∙

∙ 06/06/2020

Stable and Efficient Policy Evaluation

Policy evaluation algorithms are essential to reinforcement learning due...

12 Daoming Lyu, et al. ∙

∙ 09/18/2019

A Human-Centered Data-Driven Planner-Actor-Critic Architecture via Logic Programming

Recent successes of Reinforcement Learning (RL) allow an agent to learn ...

0 Daoming Lyu, et al. ∙

∙ 06/17/2019

PACMAN: A Planner-Actor-Critic Architecture for Human-Centered Planning and Learning

Conventional reinforcement learning (RL) allows an agent to learn polici...

5 Daoming Lyu, et al. ∙

∙ 05/16/2019

Knowledge-Based Sequential Decision-Making Under Uncertainty

Deep reinforcement learning (DRL) algorithms have achieved great success...

0 Daoming Lyu, et al. ∙

∙ 10/31/2018

SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning

Deep reinforcement learning (DRL) has gained great success by learning d...

0 Daoming Lyu, et al. ∙

∙ 10/31/2018

SDRL: Interpretable and Data-efficient Deep Reinforcement LearningLeveraging Symbolic Planning

Deep reinforcement learning (DRL) has gained great success by learning d...

0 Daoming Lyu, et al. ∙

∙ 09/07/2018

A Block Coordinate Ascent Algorithm for Mean-Variance Optimization

Risk management in dynamic decision problems is a primary concern in man...

0 Bo Liu, et al. ∙

∙ 04/20/2018

PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making

Reinforcement learning and symbolic planning have both been used to buil...

0 Fangkai Yang, et al. ∙

∙ 04/17/2017

O^2TD: (Near)-Optimal Off-Policy TD Learning

Temporal difference learning and Residual Gradient methods are the most ...

0 Bo Liu, et al. ∙

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