Large language models (LLMs) have demonstrated exciting progress in acqu...
We introduce MuJoCo MPC (MJPC), an open-source, interactive application ...
The recent phenomenal success of language models has reinvigorated machi...
The dm_control software package is a collection of Python libraries and ...
Both in simulation settings and robotics, there is an ambition to produc...
Learning robotic control policies in the real world gives rise to challe...
This paper addresses the problem of evaluating learning systems in safet...
We consider the setting of an agent with a fixed body interacting with a...
We propose a model-free deep reinforcement learning method that leverage...
The DeepMind Control Suite is a set of continuous control tasks with a
s...
The reinforcement learning paradigm allows, in principle, for complex
be...
When encountering novel objects, humans are able to infer a wide range o...
We present a unified framework for learning continuous control policies ...
We adapt the ideas underlying the success of Deep Q-Learning to the
cont...
Partially-Observable Markov Decision Processes (POMDPs) are typically so...