3 citations · 6 across the 6 of their papers we have counts for
3 papers · 1 filter
TempoBench: Reasoning Execution Without Causal Attribution Is Just Simulation
Nikolaus Holzer, William Fishell, Baishakhi Ray +1
Current training paradigms, optimized for long-horizon reasoning trace execution, have made Large Language Models (LLMs) excel at pattern matching and forward simulation of reasoni…
FinRL Contests: Benchmarking Data-driven Financial Reinforcement Learning Agents
Keyi Wang, Nikolaus Holzer, Ziyi Xia +5
Financial reinforcement learning (FinRL) is now a practical paradigm for financial engineering. However, applying RL strategies to real-world trading tasks remains a challenge for…
Revisiting Ensemble Methods for Stock Trading and Crypto Trading Tasks at ACM ICAIF FinRL Contest 2023-2024
Nikolaus Holzer, Keyi Wang, Kairong Xiao +1
Reinforcement learning has demonstrated great potential for performing financial tasks. However, it faces two major challenges: policy instability and sampling bottlenecks. In this…