[PDF][PDF] Improved temporal difference methods with linear function approximation
DP Bertsekas - mit.edu
Editor's Summary: This chapter considers temporal difference algorithms within the context
of infinite-horizon finite-state dynamic programming problems with discounted cost and …
of infinite-horizon finite-state dynamic programming problems with discounted cost and …
[引用][C] Improved Temporal Difference Methods with Linear Function Approximation
DP Bertsekas, VS Borkar… - Handbook of Learning and …, 2004 - Wiley Online Library
This chapter contains sections titled: Introduction Preliminary Analysis Convergence
Analysis Relations Between λ‐LSPE and Value Iteration Relation Between λ‐LSPE and …
Analysis Relations Between λ‐LSPE and Value Iteration Relation Between λ‐LSPE and …
Improved temporal difference methods with linear function approximation
DP Bertsekas, A Nedich… - Handbook of Learning …, 2004 - asu.elsevierpure.com
This chapter considers temporal difference algorithms within the context of infinite-horizon
finite-state dynamic programming problems with discounted cost and linear cost function …
finite-state dynamic programming problems with discounted cost and linear cost function …
[PDF][PDF] 9 Improved Temporal Difference Methods with Linear Function Approximation
DP BERTSEKAS, A NEDICH, VS BORKAR - www-mit.mit.edu
Editor's Summary: This chapter considers temporal difference algorithms within the context
of infinite-horizon finite-state dynamic programming problems with discounted cost and …
of infinite-horizon finite-state dynamic programming problems with discounted cost and …
[PDF][PDF] 9 Improved Temporal Difference Methods with Linear Function Approximation
DP BERTSEKAS, A NEDICH, VS BORKAR - stuff.mit.edu
Editor's Summary: This chapter considers temporal difference algorithms within the context
of infinite-horizon finite-state dynamic programming problems with discounted cost and …
of infinite-horizon finite-state dynamic programming problems with discounted cost and …
[PDF][PDF] IMPROVED TEMPORAL DIFFERENCE METHODS WITH LINEAR FUNCTION APPROXIMATION1
DP Bertsekas, VS Borkar, A Nedic - scholar.archive.org
We consider temporal difference algorithms within the context of infinite-horizon finite-state
dynamic programming problems with discounted cost, and linear cost function …
dynamic programming problems with discounted cost, and linear cost function …
[PDF][PDF] 9 Improved Temporal Difference Methods with Linear Function Approximation
DP BERTSEKAS, A NEDICH, VS BORKAR - Citeseer
Editor's Summary: This chapter considers temporal difference algorithms within the context
of infinite-horizon finite-state dynamic programming problems with discounted cost and …
of infinite-horizon finite-state dynamic programming problems with discounted cost and …
[PDF][PDF] IMPROVED TEMPORAL DIFFERENCE METHODS WITH LINEAR FUNCTION APPROXIMATION1
DP Bertsekas, VS Borkar, A Nedi - ocw.mit.edu
We consider temporal difference algorithms within the context of infinite-horizon finite-state
dynamic programming problems with discounted cost, and linear cost function …
dynamic programming problems with discounted cost, and linear cost function …
[PDF][PDF] 9 Improved Temporal Difference Methods with Linear Function Approximation
DP BERTSEKAS, A NEDICH, VS BORKAR - mit.edu
Editor's Summary: This chapter considers temporal difference algorithms within the context
of infinite-horizon finite-state dynamic programming problems with discounted cost and …
of infinite-horizon finite-state dynamic programming problems with discounted cost and …
[PDF][PDF] 9 Improved Temporal Difference Methods with Linear Function Approximation
DP BERTSEKAS, A NEDICH, VS BORKAR - web.mit.edu
Editor's Summary: This chapter considers temporal difference algorithms within the context
of infinite-horizon finite-state dynamic programming problems with discounted cost and …
of infinite-horizon finite-state dynamic programming problems with discounted cost and …