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» The Dynamics of Multi-Agent Reinforcement Learning
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NIPS
2007
14 years 11 months ago
Receding Horizon Differential Dynamic Programming
The control of high-dimensional, continuous, non-linear dynamical systems is a key problem in reinforcement learning and control. Local, trajectory-based methods, using techniques...
Yuval Tassa, Tom Erez, William D. Smart
AAAI
2000
14 years 11 months ago
Inter-Layer Learning Towards Emergent Cooperative Behavior
As applications for artificially intelligent agents increase in complexity we can no longer rely on clever heuristics and hand-tuned behaviors to develop their programming. Even t...
Shawn Arseneau, Wei Sun, Changpeng Zhao, Jeremy R....
IROS
2007
IEEE
168views Robotics» more  IROS 2007»
15 years 3 months ago
Improving humanoid locomotive performance with learnt approximated dynamics via Gaussian processes for regression
Abstract— We propose to improve the locomotive performance of humanoid robots by using approximated biped stepping and walking dynamics with reinforcement learning (RL). Although...
Jun Morimoto, Christopher G. Atkeson, Gen Endo, Go...
97
Voted
TSMC
2008
135views more  TSMC 2008»
14 years 9 months ago
Wholesale Power Price Dynamics Under Transmission Line Limits: A Use of an Agent-Based Intelligent Simulator
Abstract--This research proposes a use of an agent-based intelligent simulator to numerically examine the influence of a transmission line limit on the dynamics of a wholesale powe...
Toshiyuki Sueyoshi, Gopalakrishna Reddy Tadiparthi
96
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ATAL
2007
Springer
15 years 1 months ago
On Choosing an Efficient Service Selection Mechanism in Dynamic Environments
Consumers use service selection mechanisms to decide on a service provider to interact with. Although there are various service selection mechanisms, each mechanism has different s...
Murat Sensoy, Pinar Yolum