research
∙
03/10/2023
Ignorance is Bliss: Robust Control via Information Gating
Informational parsimony – i.e., using the minimal information required f...
share
research
∙
12/28/2022
Representation Learning in Deep RL via Discrete Information Bottleneck
Several self-supervised representation learning methods have been propos...
research
∙
10/31/2022
Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information
Learning to control an agent from data collected offline in a rich pixel...
research
∙
11/15/2021
Learning Representations for Pixel-based Control: What Matters and Why?
Learning representations for pixel-based control has garnered significan...
research
∙
02/19/2021
Model-Invariant State Abstractions for Model-Based Reinforcement Learning
Accuracy and generalization of dynamics models is key to the success of ...
research
∙
05/20/2020
Mirror Descent Policy Optimization
We propose deep Reinforcement Learning (RL) algorithms inspired by mirro...
research
∙
10/07/2019
Multi-step Greedy Policies in Model-Free Deep Reinforcement Learning
Multi-step greedy policies have been extensively used in model-based Rei...
research
∙
05/17/2019
MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning
Shaping in humans and animals has been shown to be a powerful tool for l...
research
∙
05/14/2019