1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training
Philipp Altmann, Thomy Phan, Fabian Ritz +2
We propose discriminative reward co-training (DIRECT) as an extension to deep reinforcement learning algorithms. Building upon the concept of self-imitation learning (SIL), we intr…
cs.MA2023
Learning to Participate through Trading of Reward Shares
Michael Kölle, Tim Matheis, Philipp Altmann +1
Enabling autonomous agents to act cooperatively is an important step to integrate artificial intelligence in our daily lives. While some methods seek to stimulate cooperation by le…
cs.NE2019
Benchmarking Surrogate-Assisted Genetic Recommender Systems
Thomas Gabor, Philipp Altmann
We propose a new approach for building recommender systems by adapting surrogate-assisted interactive genetic algorithms. A pool of user-evaluated items is used to construct an app…