Experimentation on real robots is demanding in terms of time and costs. ...
Guaranteeing safe behaviour of reinforcement learning (RL) policies pose...
This report introduces our winning solution of the real-robot phase of t...
This paper studies the problem of learning a control policy without the ...
This paper describes a deep reinforcement learning (DRL) approach that w...
Model-based reinforcement learning is a promising learning strategy for
...
This paper details our winning submission to Phase 1 of the 2021 Real Ro...