3 citations · 7 across the 5 of their papers we have counts for
4 papers · 1 filter
Teacher-student curriculum learning for reinforcement learning
Yanick Schraner
Reinforcement learning (rl) is a popular paradigm for sequential decision making problems. The past decade's advances in rl have led to breakthroughs in many challenging domains su…
Distilling Reinforcement Learning Tricks for Video Games
Anssi Kanervisto, Christian Scheller, Yanick Schraner +1
Reinforcement learning (RL) research focuses on general solutions that can be applied across different domains. This results in methods that RL practitioners can use in almost any…
Towards robust and domain agnostic reinforcement learning competitions
William Hebgen Guss, Stephanie Milani, Nicholay Topin +26
Reinforcement learning competitions have formed the basis for standard research benchmarks, galvanized advances in the state-of-the-art, and shaped the direction of the field. Desp…
Sample Efficient Reinforcement Learning through Learning from Demonstrations in Minecraft
Christian Scheller, Yanick Schraner, Manfred Vogel
Sample inefficiency of deep reinforcement learning methods is a major obstacle for their use in real-world applications. In this work, we show how human demonstrations can improve…