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Generalizations of the Theory of Linearly Solvable MDPs
Published on 2012-10-163360 Views
We present various generalizations of the theory of linearly solvable optimal control. One generalization is the extension to the game theoretic and risk-sensitive setting, which requires replacing KL
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Presentation
Generalizations of the Theory of Linearly Solvable MDPs00:00
Table of Contents00:20
Markov Games (MGs)01:12
I Like Linear Equations03:57
Rényi divergences - 104:56
Rényi divergences - 205:42
Linearly Solvable Markov Games (LMGs): Dynamics06:12
LMGs: Solution08:28
Car on a Hill - 112:23
Car on a Hill - 214:00
Crossing a Narrow Bridge - 114:31
Crossing a Narrow Bridge - 214:54
Stabilizing an unstable system - 115:13
Stabilizing an unstable system - 215:29
Outline: Policy Gradients15:59
Deterministic MDPs with Stochastic Policies16:31
Finite Horizon Policy Gradients17:18
Relationship to Other Algorithms - 118:22
Relationship to Other Algorithms - 219:54
Second Order Methods20:03
Conclusions and Future Work - 121:13
Conclusions and Future Work - 221:25
References21:52