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09/30/2022
On Convergence of Average-Reward Off-Policy Control Algorithms in Weakly-Communicating MDPs
We show two average-reward off-policy control algorithms, Differential Q...
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05/25/2022
Toward Discovering Options that Achieve Faster Planning
We propose a new objective for option discovery that emphasizes the comp...
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04/25/2022
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods
In recent years, a growing number of deep model-based reinforcement lear...
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02/21/2022
LiDAR-guided Stereo Matching with a Spatial Consistency Constraint
The complementary fusion of light detection and ranging (LiDAR) data and...
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10/26/2021
Average-Reward Learning and Planning with Options
We extend the options framework for temporal abstraction in reinforcemen...
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04/17/2021
Planning with Expectation Models for Control
In model-based reinforcement learning (MBRL), Wan et al. (2019) showed c...
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01/08/2021
Average-Reward Off-Policy Policy Evaluation with Function Approximation
We consider off-policy policy evaluation with function approximation (FA...
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01/07/2021
Detecting Log Anomalies with Multi-Head Attention (LAMA)
Anomaly detection is a crucial and challenging subject that has been stu...
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06/29/2020
Learning and Planning in Average-Reward Markov Decision Processes
We introduce improved learning and planning algorithms for average-rewar...
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02/07/2020
Off-policy Maximum Entropy Reinforcement Learning : Soft Actor-Critic with Advantage Weighted Mixture Policy(SAC-AWMP)
The optimal policy of a reinforcement learning problem is often disconti...
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04/02/2019
Planning with Expectation Models
Distribution and sample models are two popular model choices in model-ba...
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04/14/2015