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07/16/2023
Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training
We introduce DualMind, a generalist agent designed to tackle various dec...
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09/22/2022
PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training
Robotics has long been a field riddled with complex systems architecture...
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10/27/2021
The ODE Method for Asymptotic Statistics in Stochastic Approximation and Reinforcement Learning
The paper concerns convergence and asymptotic statistics for stochastic ...
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09/30/2020
Accelerating Optimization and Reinforcement Learning with Quasi-Stochastic Approximation
The ODE method has been a workhorse for algorithm design and analysis si...
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02/07/2020
Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation
This paper concerns error bounds for recursive equations subject to Mark...
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10/11/2019
Zap Q-Learning With Nonlinear Function Approximation
The Zap stochastic approximation (SA) algorithm was introduced recently ...
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04/25/2019