Constrained Reinforcement Learning Using Successor Representations

Michael Girstl, Alexander Mattick, Christopher Mutschler

Real-world Reinforcement Learning depends on the ability to formulate safety constraints into a policy. A common way to model such constraints is to introduce an additional cost si…