4 citations · 6 across the 6 of their papers we have counts for
3 papers · 1 filter
When Can One Neuron Fix Repetition Loops in LLMs?
Aristotelis Lazaridis, Aman Sharma, Dylan Bates +3
The Gemma 4 instruction-tuned models share a reproducible failure: on long factual enumeration prompts, such as TV episodes, the 88 IAU constellations, or the 151 original Pokemon,…
Lucy-SKG: Learning to Play Rocket League Efficiently Using Deep Reinforcement Learning
Vasileios Moschopoulos, Pantelis Kyriakidis, Aristotelis Lazaridis +1
A successful tactic that is followed by the scientific community for advancing AI is to treat games as problems, which has been proven to lead to various breakthroughs. We adapt th…
REIN-2: Giving Birth to Prepared Reinforcement Learning Agents Using Reinforcement Learning Agents
Aristotelis Lazaridis, Ioannis Vlahavas
Deep Reinforcement Learning (Deep RL) has been in the spotlight for the past few years, due to its remarkable abilities to solve problems which were considered to be practically un…