research
∙
04/26/2023
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning
We investigate whether Deep Reinforcement Learning (Deep RL) is able to ...
share
research
∙
01/20/2022
Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning
The ability to discover behaviours from past experience and transfer the...
research
∙
06/09/2021
Bayesian Bellman Operators
We introduce a novel perspective on Bayesian reinforcement learning (RL)...
research
∙
10/02/2020
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning
Meta-learning is a powerful tool for learning policies that can adapt ef...
research
∙
04/27/2020
The Ingredients of Real-World Robotic Reinforcement Learning
The success of reinforcement learning for real world robotics has been, ...
research
∙
09/25/2019
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots
ROBEL is an open-source platform of cost-effective robots designed for r...
research
∙
07/18/2019
Dynamical Distance Learning for Unsupervised and Semi-Supervised Skill Discovery
Reinforcement learning requires manual specification of a reward functio...
research
∙
04/16/2019
End-to-End Robotic Reinforcement Learning without Reward Engineering
The combination of deep neural network models and reinforcement learning...
research
∙
12/13/2018
Soft Actor-Critic Algorithms and Applications
Model-free deep reinforcement learning (RL) algorithms have been success...
research
∙
04/09/2018