research
∙
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...
share
research
∙
09/22/2022
PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training
Robotics has long been a field riddled with complex systems architecture...
research
∙
10/27/2021
The ODE Method for Asymptotic Statistics in Stochastic Approximation and Reinforcement Learning
The paper concerns convergence and asymptotic statistics for stochastic ...
research
∙
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...
research
∙
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...
research
∙
10/11/2019
Zap Q-Learning With Nonlinear Function Approximation
The Zap stochastic approximation (SA) algorithm was introduced recently ...
research
∙
04/25/2019
