research
∙
07/05/2022
Randomized-to-Canonical Model Predictive Control for Real-world Visual Robotic Manipulation
Many works have recently explored Sim-to-real transferable visual model ...
share
research
∙
06/21/2022
Model-Based Imitation Learning Using Entropy Regularization of Model and Policy
Approaches based on generative adversarial networks for imitation learni...
research
∙
05/16/2022
q-Munchausen Reinforcement Learning
The recently successful Munchausen Reinforcement Learning (M-RL) feature...
research
∙
05/16/2022
Enforcing KL Regularization in General Tsallis Entropy Reinforcement Learning via Advantage Learning
Maximum Tsallis entropy (MTE) framework in reinforcement learning has ga...
research
∙
08/17/2020
Imitation learning based on entropy-regularized forward and inverse reinforcement learning
This paper proposes Entropy-Regularized Imitation Learning (ERIL), which...
research
∙
07/25/2018
Unbounded Output Networks for Classification
We proposed the expected energy-based restricted Boltzmann machine (EE-R...
research
∙
10/30/2017
