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02/24/2021
Modular Deep Reinforcement Learning for Continuous Motion Planning with Temporal Logic
This paper investigates the motion planning of autonomous dynamical syst...
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01/20/2021
Shielding Atari Games with Bounded Prescience
Deep reinforcement learning (DRL) is applied in safety-critical domains ...
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07/06/2020
Jump Operator Planning: Goal-Conditioned Policy Ensembles and Zero-Shot Transfer
In Hierarchical Control, compositionality, abstraction, and task-transfe...
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02/26/2020
Cautious Reinforcement Learning with Logical Constraints
This paper presents the concept of an adaptive safe padding that forces ...
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11/22/2019
DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning
We propose a method for effective training of deep Reinforcement Learnin...
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11/22/2019
DeepSynth: Program Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning
We propose a method for efficient training of deep Reinforcement Learnin...
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09/23/2019
Modular Deep Reinforcement Learning with Temporal Logic Specifications
We propose an actor-critic, model-free, and online Reinforcement Learnin...
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09/11/2019
Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees
Reinforcement Learning (RL) has emerged as an efficient method of choice...
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02/02/2019
Certified Reinforcement Learning with Logic Guidance
This paper proposes the first model-free Reinforcement Learning (RL) fra...
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09/20/2018
Logically-Constrained Neural Fitted Q-Iteration
This paper proposes a method for efficient training of the Q-function fo...
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02/07/2018
From Game-theoretic Multi-agent Log Linear Learning to Reinforcement Learning
Multi-agent Systems (MASs) have found a variety of industrial applicatio...
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01/24/2018
