5 citations · 8 across the 4 of their papers we have counts for
4 papers
Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark
Jonas Weihing, Shahram Eivazi
Deep reinforcement learning (DRL) has a longstanding tradition in addressing the reach-avoid task problem, especially for controlling robotic arms. While this task serves as a base…
Simultaneous Training of First- and Second-Order Optimizers in Population-Based Reinforcement Learning
Felix Pfeiffer, Shahram Eivazi
The tuning of hyperparameters in reinforcement learning (RL) is critical, as these parameters significantly impact an agent's performance and learning efficiency. Dynamic adjustmen…
Efficient LSTM Training with Eligibility Traces
Michael Hoyer, Shahram Eivazi, Sebastian Otte
Training recurrent neural networks is predominantly achieved via backpropagation through time (BPTT). However, this algorithm is not an optimal solution from both a biological and…
Eye Tracking Data Collection Protocol for VR for Remotely Located Subjects using Blockchain and Smart Contracts
Efe Bozkir, Shahram Eivazi, Mete Akgün +1
Eye tracking data collection in the virtual reality context is typically carried out in laboratory settings, which usually limits the number of participants or consumes at least se…