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ORCIDGautham Vasan
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2020 – today
- 2024
[j1]Gautham Vasan, Yan Wang, Fahim Shahriar, James Bergstra, Martin Jägersand, A. Rupam Mahmood:
Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning. RLJ 4: 1841-1854 (2024)- [c9]Bram Grooten, Tristan Tomilin, Gautham Vasan, Matthew E. Taylor, A. Rupam Mahmood, Meng Fang, Mykola Pechenizkiy, Decebal Constantin Mocanu:
MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning. AAMAS 2024: 733-742 - [c8]Gautham Vasan:
Autonomous Skill Acquisition for Robots Using Graduated Learning. AAMAS 2024: 2785-2787 - [i11]Gautham Vasan, Yan Wang, Fahim Shahriar, James Bergstra, Martin Jägersand, A. Rupam Mahmood:
Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning. CoRR abs/2407.00324 (2024) - [i10]Mohamed Elsayed, Gautham Vasan, A. Rupam Mahmood:
Streaming Deep Reinforcement Learning Finally Works. CoRR abs/2410.14606 (2024) - [i9]Gautham Vasan, Mohamed Elsayed, Alireza Azimi, Jiamin He, Fahim Shariar, Colin Bellinger, Martha White, A. Rupam Mahmood:
Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers. CoRR abs/2411.15370 (2024) - 2023
- [c7]Fengdi Che, Gautham Vasan, A. Rupam Mahmood:
Correcting discount-factor mismatch in on-policy policy gradient methods. ICML 2023: 4218-4240 - [c6]Yan Wang, Gautham Vasan, A. Rupam Mahmood:
Real-Time Reinforcement Learning for Vision-Based Robotics Utilizing Local and Remote Computers. ICRA 2023: 9435-9441 - [i8]Fengdi Che, Gautham Vasan, A. Rupam Mahmood:
Correcting discount-factor mismatch in on-policy policy gradient methods. CoRR abs/2306.13284 (2023) - [i7]Bram Grooten, Tristan Tomilin, Gautham Vasan, Matthew E. Taylor, A. Rupam Mahmood, Meng Fang, Mykola Pechenizkiy, Decebal Constantin Mocanu:
MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning. CoRR abs/2312.15339 (2023) - 2022
- [i6]Yan Wang, Gautham Vasan, A. Rupam Mahmood:
Real-Time Reinforcement Learning for Vision-Based Robotics Utilizing Local and Remote Computers. CoRR abs/2210.02317 (2022)
2010 – 2019
- 2019
- [c5]Dmytro Korenkevych, A. Rupam Mahmood, Gautham Vasan, James Bergstra:
Autoregressive Policies for Continuous Control Deep Reinforcement Learning. IJCAI 2019: 2754-2762 - [i5]Dmytro Korenkevych, A. Rupam Mahmood, Gautham Vasan, James Bergstra:
Autoregressive Policies for Continuous Control Deep Reinforcement Learning. CoRR abs/1903.11524 (2019) - 2018
- [c4]Gautham Vasan, Patrick M. Pilarski
:
Context-Aware Learning from Demonstration: Using Camera Data to Support the Synergistic Control of a Multi-Joint Prosthetic Arm. BioRob 2018: 199-206 - [c3]A. Rupam Mahmood, Dmytro Korenkevych, Gautham Vasan, William Ma, James Bergstra:
Benchmarking Reinforcement Learning Algorithms on Real-World Robots. CoRL 2018: 561-591 - [i4]A. Rupam Mahmood, Dmytro Korenkevych, Gautham Vasan, William Ma, James Bergstra:
Benchmarking Reinforcement Learning Algorithms on Real-World Robots. CoRR abs/1809.07731 (2018) - 2017
- [c2]Gautham Vasan, Patrick M. Pilarski:
Learning from demonstration: Teaching a myoelectric prosthesis with an intact limb via reinforcement learning. ICORR 2017: 1457-1464 - 2016
- [c1]Kenny Young, Gautham Vasan, Ryan Hayward:
NeuroHex: A Deep Q-learning Hex Agent. CGW@IJCAI 2016: 3-18 - [i3]Kenny Young, Ryan Hayward, Gautham Vasan:
Neurohex: A Deep Q-learning Hex Agent. CoRR abs/1604.07097 (2016) - 2014
- [i2]G. Aravind, Gautham Vasan, T. S. B. Gowtham Kumar, Balaji Naresh:
A Control Strategy for an Autonomous Robotic Vacuum Cleaner for Solar Panels. CoRR abs/1412.0591 (2014) - [i1]Gautham Vasan, Arun Kumar Singh, K. Madhava Krishna:
Model Predictive Control for Micro Aerial Vehicle Systems (MAV) Systems. CoRR abs/1412.2356 (2014)
Coauthor Index
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