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02/21/2023
Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management
Reinforcement learning (RL) has shown great promise for developing dialo...
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07/25/2022
Dynamic Planning in Open-Ended Dialogue using Reinforcement Learning
Despite recent advances in natural language understanding and generation...
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05/31/2022
A Mixture-of-Expert Approach to RL-based Dialogue Management
Despite recent advancements in language models (LMs), their application ...
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05/10/2022
Efficient Risk-Averse Reinforcement Learning
In risk-averse reinforcement learning (RL), the goal is to optimize some...
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02/10/2022
SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition
Though many reinforcement learning (RL) problems involve learning polici...
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02/06/2022
Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors
Interactive recommender systems (RSs) allow users to express intent, pre...
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12/01/2020
Non-Stationary Latent Bandits
Users of recommender systems often behave in a non-stationary fashion, d...
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10/22/2020
CoinDICE: Off-Policy Confidence Interval Estimation
We study high-confidence behavior-agnostic off-policy evaluation in rein...
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10/11/2020
Safe Reinforcement Learning with Natural Language Constraints
In this paper, we tackle the problem of learning control policies for ta...
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06/24/2020
Control-Aware Representations for Model-based Reinforcement Learning
A major challenge in modern reinforcement learning (RL) is efficient con...
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06/15/2020
Latent Bandits Revisited
A latent bandit problem is one in which the learning agent knows the arm...
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06/15/2020
Piecewise-Stationary Off-Policy Optimization
Off-policy learning is a framework for evaluating and optimizing policie...
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06/09/2020
Variational Model-based Policy Optimization
Model-based reinforcement learning (RL) algorithms allow us to combine m...
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03/02/2020
Predictive Coding for Locally-Linear Control
High-dimensional observations and unknown dynamics are major challenges ...
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02/08/2020
BRPO: Batch Residual Policy Optimization
In batch reinforcement learning (RL), one often constrains a learned pol...
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12/04/2019
AlgaeDICE: Policy Gradient from Arbitrary Experience
In many real-world applications of reinforcement learning (RL), interact...
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09/26/2019
CAQL: Continuous Action Q-Learning
Value-based reinforcement learning (RL) methods like Q-learning have sho...
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09/04/2019
Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control
Many real-world sequential decision-making problems can be formulated as...
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06/10/2019
DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections
In many real-world reinforcement learning applications, access to the en...
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01/28/2019
Lyapunov-based Safe Policy Optimization for Continuous Control
We study continuous action reinforcement learning problems in which it i...
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09/07/2018
A Block Coordinate Ascent Algorithm for Mean-Variance Optimization
Risk management in dynamic decision problems is a primary concern in man...
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08/13/2018
Risk-Sensitive Generative Adversarial Imitation Learning
We study risk-sensitive imitation learning where the agent's goal is to ...
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05/20/2018
A Lyapunov-based Approach to Safe Reinforcement Learning
In many real-world reinforcement learning (RL) problems, besides optimiz...
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02/10/2018
Path Consistency Learning in Tsallis Entropy Regularized MDPs
We study the sparse entropy-regularized reinforcement learning (ERL) pro...
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02/10/2018
More Robust Doubly Robust Off-policy Evaluation
We study the problem of off-policy evaluation (OPE) in reinforcement lea...
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07/13/2016
Safe Policy Improvement by Minimizing Robust Baseline Regret
An important problem in sequential decision-making under uncertainty is ...
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12/05/2015
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria
In many sequential decision-making problems one is interested in minimiz...
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09/29/2015
Two Phase Q-learning for Bidding-based Vehicle Sharing
We consider one-way vehicle sharing systems where customers can rent a c...
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06/06/2015
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
In this paper we address the problem of decision making within a Markov ...
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02/13/2015
Policy Gradient for Coherent Risk Measures
Several authors have recently developed risk-sensitive policy gradient m...
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06/12/2014
