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06/15/2023
Datasets and Benchmarks for Offline Safe Reinforcement Learning
This paper presents a comprehensive benchmarking suite tailored to offli...
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02/14/2023
Constrained Decision Transformer for Offline Safe Reinforcement Learning
Safe reinforcement learning (RL) trains a constraint satisfaction policy...
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10/04/2022
Robustness Certification of Visual Perception Models via Camera Motion Smoothing
A vast literature shows that the learning-based visual perception model ...
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09/16/2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability
A trustworthy reinforcement learning algorithm should be competent in so...
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06/20/2022
SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles
As shown by recent studies, machine intelligence-enabled systems are vul...
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05/29/2022
On the Robustness of Safe Reinforcement Learning under Observational Perturbations
Safe reinforcement learning (RL) trains a policy to maximize the task re...
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01/28/2022
Constrained Variational Policy Optimization for Safe Reinforcement Learning
Safe reinforcement learning (RL) aims to learn policies that satisfy cer...
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05/02/2021
Improving Perception via Sensor Placement: Designing Multi-LiDAR Systems for Autonomous Vehicles
Recent years have witnessed an increasing interest in improving the perc...
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01/02/2021
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments
Safety is a critical concern when deploying reinforcement learning agent...
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10/15/2020
Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method
This paper studies the safe reinforcement learning (RL) problem without ...
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07/30/2020
MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments
Multi-agent navigation in dynamic environments is of great industrial va...
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06/19/2020
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes
Continuously learning to solve unseen tasks with limited experience has ...
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05/11/2020
Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive Environments
Action and observation delays exist prevalently in the real-world cyber-...
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09/22/2018
DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments
Simultaneous Localization and Mapping (SLAM) is considered to be a funda...
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09/16/2018
