Co-occurring keywords · papers mentioning both
Papers
Scaling Up Robust MDPs using Function Approximation
ICML 2014
Efficient Exploration and Value Function Generalization in Deterministic Systems
NeurIPS 2013
Exploiting Passive Dynamics with Variable Stiffness Actuation in Robot Brachiation
RSS 2012
Hierarchical Motion Planning in Topological Representations
RSS 2012
Optimal Control with Weighted Average Costs and Temporal Logic Specifications
RSS 2012
Recognition, Prediction, and Planning for Assisted Teleoperation of Freeform Tasks
RSS 2012
Symbolic Dynamic Programming for Continuous State and Observation POMDPs
NeurIPS 2012
Exploiting Variable Stiffness in Explosive Movement Tasks
RSS 2011
MAP Inference for Bayesian Inverse Reinforcement Learning
NeurIPS 2011
Motion Planning Under Uncertainty In Highly Deformable Environments
RSS 2011
Optimal Distributed Market-Based Planning for Multi-Agent Systems with Shared Resources
AISTATS 2011
Regret Bounds for the Adaptive Control of Linear Quadratic Systems
COLT 2011
A Generalized Path Integral Control Approach to Reinforcement Learning
JMLR 2010
An Approximate Inference Approach to Temporal Optimization in Optimal Control
NeurIPS 2010
The Neural Costs of Optimal Control
NeurIPS 2010
Variable Impedance Control - A Reinforcement Learning Approach
RSS 2010
Compositionality of optimal control laws
NeurIPS 2009
Adapting to a Market Shock: Optimal Sequential Market-Making
NeurIPS 2008
Bounding Performance Loss in Approximate MDP Homomorphisms
NeurIPS 2008
A Discrete Geometric Optimal Control Framework for Systems with Symmetries
RSS 2007
Receding Horizon Differential Dynamic Programming
NeurIPS 2007
An Application of Reinforcement Learning to Aerobatic Helicopter Flight
NeurIPS 2006
A Simulation-Based Algorithm for Ergodic Control of Markov Chains Conditioned on Rare Events
JMLR 2006
Learning Operational Space Control
RSS 2006
Linearly-solvable Markov decision problems
NeurIPS 2006