no code implementations • 25 Jun 2021 • Alvaro Ovalle, Simon M. Lucas
A large part of the interest in model-based reinforcement learning derives from the potential utility to acquire a forward model capable of strategic long term decision making.
1 code implementation • 15 Apr 2021 • Christopher Bamford, Alvaro Ovalle
There are relatively few conventions followed in reinforcement learning (RL) environments to structure the action spaces.
no code implementations • 18 Jul 2020 • Alvaro Ovalle, Simon M. Lucas
In particular, we highlight the distinction between observations induced by the environment and those pertaining more directly to the continuity of an agent in time.
no code implementations • 15 Apr 2020 • Alvaro Ovalle, Simon M. Lucas
Having access to a forward model enables the use of planning algorithms such as Monte Carlo Tree Search and Rolling Horizon Evolution.