10 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Robot See, Robot Do: Imitation Reward for Noisy Financial Environments
Sven Goluža, Tomislav Kovačević, Stjepan Begušić +1
The sequential nature of decision-making in financial asset trading aligns naturally with the reinforcement learning (RL) framework, making RL a common approach in this domain. How…
q-fin.TR2024★ 10 cited
Deep reinforcement learning with positional context for intraday trading
Sven Goluža, Tomislav Kovačević, Tessa Bauman +1
Deep reinforcement learning (DRL) is a well-suited approach to financial decision-making, where an agent makes decisions based on its trading strategy developed from market observa…