
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning
Increasing the scale of reinforcement learning experiments has allowed r...
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Rapid TopDown Synthesis of LargeScale IoT Networks
Advances in optimization and constraint satisfaction techniques, togethe...
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Encoding Physical Constraints in Differentiable NewtonEuler Algorithm
The recursive NewtonEuler Algorithm (RNEA) is a popular technique in ro...
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MetaLearning via Learned Loss
We present a metalearning approach based on learning an adaptive, high...
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Accelerating GoalDirected Reinforcement Learning by Model Characterization
We propose a hybrid approach aimed at improving the sample efficiency in...
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Solving Markov Decision Processes with Reachability Characterization from Mean First Passage Times
A new mechanism for efficiently solving the Markov decision processes (M...
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Reachability and Differential based Heuristics for Solving Markov Decision Processes
The solution convergence of Markov Decision Processes (MDPs) can be acce...
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ZeroShot Skill Composition and SimulationtoReal Transfer by Learning Task Representations
Simulationtoreal transfer is an important strategy for making reinforc...
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Scaling simulationtoreal transfer by learning composable robot skills
We present a novel solution to the problem of simulationtoreal transfe...
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Region Growing Curriculum Generation for Reinforcement Learning
Learning a policy capable of moving an agent between any two states in t...
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Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena
The problem of modeling and predicting spatiotemporal traffic phenomena ...
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Gaurav Sukhatme
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