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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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09/16/2020
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation
Existing neural network-based autonomous systems are shown to be vulnera...
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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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05/11/2020
Delay-Aware Model-Based Reinforcement Learning for Continuous Control
Action delays degrade the performance of reinforcement learning in many ...
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04/14/2020