Loss- and Reward-Weighting for Efficient Distributed Reinforcement Learning

Martin Holen, Per-Arne Andersen, Kristian Muri Knausgård +1

This paper introduces two learning schemes for distributed agents in Reinforcement Learning (RL) environments, namely Reward-Weighted (R-Weighted) and Loss-Weighted (L-Weighted) gr…