 | 2011 |
|---|
| 12 |       | Daniel Urieli,
Patrick MacAlpine,
Shivaram Kalyanakrishnan,
Yinon Bentor,
Peter Stone:
On optimizing interdependent skills: a case study in simulated 3D humanoid robot soccer.
AAMAS 2011: 769-776 |
| 11 | | Shivaram Kalyanakrishnan,
Ambarish Goswami:
Learning to Predict Humanoid Fall.
I. J. Humanoid Robotics 8(2): 245-273 (2011) |
| 10 | | Shivaram Kalyanakrishnan,
Peter Stone:
Characterizing reinforcement learning methods through parameterized learning problems.
Machine Learning 84(1-2): 205-247 (2011) |
| 2010 |
|---|
| 9 | | Shivaram Kalyanakrishnan,
Ambarish Goswami:
Predicting Falls of a Humanoid Robot through Machine Learning.
IAAI 2010 |
| 8 | | Shivaram Kalyanakrishnan,
Peter Stone:
Efficient Selection of Multiple Bandit Arms: Theory and Practice.
ICML 2010: 511-518 |
| 2009 |
|---|
| 7 | | Shivaram Kalyanakrishnan,
Peter Stone:
Learning complementary multiagent behaviors: a case study.
AAMAS (2) 2009: 1359-1360 |
| 6 | | Shivaram Kalyanakrishnan,
Peter Stone:
An empirical analysis of value function-based and policy search reinforcement learning.
AAMAS (2) 2009: 749-756 |
| 5 | | Shivaram Kalyanakrishnan,
Todd Hester,
Michael Quinlan,
Yinon Bentor,
Peter Stone:
Three Humanoid Soccer Platforms: Comparison and Synthesis.
RoboCup 2009: 140-152 |
| 4 | | Shivaram Kalyanakrishnan,
Peter Stone:
Learning Complementary Multiagent Behaviors: A Case Study.
RoboCup 2009: 153-165 |
| 2007 |
|---|
| 3 | | Shivaram Kalyanakrishnan,
Peter Stone:
Batch reinforcement learning in a complex domain.
AAMAS 2007: 94 |
| 2 | | Shivaram Kalyanakrishnan,
Peter Stone,
Yaxin Liu:
Model-Based Reinforcement Learning in a Complex Domain.
RoboCup 2007: 171-183 |
| 2006 |
|---|
| 1 | | Shivaram Kalyanakrishnan,
Yaxin Liu,
Peter Stone:
Half Field Offense in RoboCup Soccer: A Multiagent Reinforcement Learning Case Study.
RoboCup 2006: 72-85 |
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