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07/21/2023
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization
Offline reinforcement learning (RL) has received considerable attention ...
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06/15/2023
Offline Multi-Agent Reinforcement Learning with Coupled Value Factorization
Offline reinforcement learning (RL) that learns policies from offline da...
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06/07/2023
Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL
Offline reinforcement learning (RL) offers an appealing approach to real...
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06/05/2023
Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic
Learning high-quality Q-value functions plays a key role in the success ...
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05/27/2023
Query-Policy Misalignment in Preference-Based Reinforcement Learning
Preference-based reinforcement learning (PbRL) provides a natural way to...
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05/25/2023
PROTO: Iterative Policy Regularized Offline-to-Online Reinforcement Learning
Offline-to-online reinforcement learning (RL), by combining the benefits...
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03/28/2023
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization
Most offline reinforcement learning (RL) methods suffer from the trade-o...
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02/03/2023
Mind the Gap: Offline Policy Optimization for Imperfect Rewards
Reward function is essential in reinforcement learning (RL), serving as ...
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10/15/2022
A Policy-Guided Imitation Approach for Offline Reinforcement Learning
Offline reinforcement learning (RL) methods can generally be categorized...
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07/20/2022
Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations
We study the problem of offline Imitation Learning (IL) where an agent a...
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07/01/2022
Discriminator-Guided Model-Based Offline Imitation Learning
Offline imitation learning (IL) is a powerful method to solve decision-m...
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06/27/2022
When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning
Learning effective reinforcement learning (RL) policies to solve real-wo...
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05/23/2022
Distance-Sensitive Offline Reinforcement Learning
In offline reinforcement learning (RL), one detrimental issue to policy ...
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10/22/2021
ModEL: A Modularized End-to-end Reinforcement Learning Framework for Autonomous Driving
Heated debates continue over the best autonomous driving framework. The ...
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10/21/2021
Efficient Robotic Manipulation Through Offline-to-Online Reinforcement Learning and Goal-Aware State Information
End-to-end learning robotic manipulation with high data efficiency is on...
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10/14/2021
Offline Reinforcement Learning with Soft Behavior Regularization
Most prior approaches to offline reinforcement learning (RL) utilize beh...
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07/19/2021
Constraints Penalized Q-Learning for Safe Offline Reinforcement Learning
We study the problem of safe offline reinforcement learning (RL), the go...
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05/30/2021
CSCAD: Correlation Structure-based Collective Anomaly Detection in Complex System
Detecting anomalies in large complex systems is a critical and challengi...
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05/16/2021
Model-Based Offline Planning with Trajectory Pruning
Offline reinforcement learning (RL) enables learning policies using pre-...
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02/23/2021