
Safe Reinforcement Learning with Natural Language Constraints
In this paper, we tackle the problem of learning control policies for ta...
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ControlAware Representations for Modelbased Reinforcement Learning
A major challenge in modern reinforcement learning (RL) is efficient con...
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Latent Bandits Revisited
A latent bandit problem is one in which the learning agent knows the arm...
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PiecewiseStationary OffPolicy Optimization
Offpolicy learning is a framework for evaluating and optimizing policie...
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Variational Modelbased Policy Optimization
Modelbased reinforcement learning (RL) algorithms allow us to combine m...
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Predictive Coding for LocallyLinear Control
Highdimensional observations and unknown dynamics are major challenges ...
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BRPO: Batch Residual Policy Optimization
In batch reinforcement learning (RL), one often constrains a learned pol...
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AlgaeDICE: Policy Gradient from Arbitrary Experience
In many realworld applications of reinforcement learning (RL), interact...
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CAQL: Continuous Action QLearning
Valuebased reinforcement learning (RL) methods like Qlearning have sho...
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Prediction, Consistency, Curvature: Representation Learning for LocallyLinear Control
Many realworld sequential decisionmaking problems can be formulated as...
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DualDICE: BehaviorAgnostic Estimation of Discounted Stationary Distribution Corrections
In many realworld reinforcement learning applications, access to the en...
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Lyapunovbased Safe Policy Optimization for Continuous Control
We study continuous action reinforcement learning problems in which it i...
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A Block Coordinate Ascent Algorithm for MeanVariance Optimization
Risk management in dynamic decision problems is a primary concern in man...
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RiskSensitive Generative Adversarial Imitation Learning
We study risksensitive imitation learning where the agent's goal is to ...
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A Lyapunovbased Approach to Safe Reinforcement Learning
In many realworld reinforcement learning (RL) problems, besides optimiz...
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Path Consistency Learning in Tsallis Entropy Regularized MDPs
We study the sparse entropyregularized reinforcement learning (ERL) pro...
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More Robust Doubly Robust Offpolicy Evaluation
We study the problem of offpolicy evaluation (OPE) in reinforcement lea...
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Safe Policy Improvement by Minimizing Robust Baseline Regret
An important problem in sequential decisionmaking under uncertainty is ...
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RiskConstrained Reinforcement Learning with Percentile Risk Criteria
In many sequential decisionmaking problems one is interested in minimiz...
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Two Phase Qlearning for Biddingbased Vehicle Sharing
We consider oneway vehicle sharing systems where customers can rent a c...
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RiskSensitive and Robust DecisionMaking: a CVaR Optimization Approach
In this paper we address the problem of decision making within a Markov ...
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Policy Gradient for Coherent Risk Measures
Several authors have recently developed risksensitive policy gradient m...
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Algorithms for CVaR Optimization in MDPs
In many sequential decisionmaking problems we may want to manage risk b...
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