[PDF] Sample|Efficient Evolutionary Function Approximation for ...

Sample-Efficient Evolutionary Function Approximation for ...

evolutionary function approximation sample-efficient. In domains with large or continuous state spaces, the value function cannot be represented in a table.

Sample-Efficient Evolutionary Function Approximation ... - CiteSeerX

evolutionary function approximation sample-efficient. In domains with large or continuous state spaces, the value function cannot be represented in a table.

Sample-Efficient Evolutionary Function Approximation for ...

Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning · Authors. Shimon Whiteson · Proceedings: Proceedings of the AAAI ...

[PDF] Sample-Efficient Evolutionary Function Approximation for ...

This work presents an enhancement to evolutionary function approximation that makes it much more sample-efficient by exploiting the off-policy nature of ...

Sample-Efficient Evolutionary Function Approximation - SpringerLink

As mentioned in Section 4.3, evolutionary function approximation suffers from one important disadvantage: high sample complexity.

Peter Stone: Sample-Efficient Evolutionary Function Approximation ...

Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning. Shimon Whiteson and Peter Stone. In Proceedings of the Twenty-First ...

Evolutionary Function Approximation - Peter Stone - Academia.edu

Shimon Whiteson. Adaptation, Learning, and Optimization, 2012. downloadDownload free PDF View PDFchevron_right · Sample-efficient evolutionary function ...

Sample-efficient evolutionary function approximation for ...

In practice, the success of function approximators depends on the ability of the human designer to select an appropriate representation for the ...

Sample-Efficient Evolutionary Function Approximation | SpringerLink

By storing experience from the previous generation, sample-efficient evolutionary function approximation can train each new generation off-line using only ...

Evolutionary Function Approximation for Reinforcement Learning

tion approximation, a novel approach to automatically se- lecting function approximator representations that enable efficient individual learning. This ...

(PDF) Evolutionary value function approximation - ResearchGate

PDF | function approximation, helps in moving from a single isolated learning stage to cooperative exploration of the search space and accelerating.

Evolutionary Function Approximation for Reinforcement Learning

... sample complexity. In on- going research, we are investigating ways of making NEAT+Q more sample-efficient. For example, preliminary results suggest that ...

Evolutionary Function Approximation for Reinforcement Learning

This paper investigates evolutionary function approximation, a novel approach to automatically selecting function approximator representations that enable ...

Evolutionary Function Approximation for Reinforcement Learning

The resulting NEAT+Q algorithm automati ally dis overs e e - tive representations for neural network fun tion approxima- tors. This thesis also ...

Approximation-Guided Evolutionary Multi-Objective Optimization

The Pareto front of a MOO prob- lem consists of the function values representing the differ- ent trade-offs with respect to the given objective functions. Multi ...

An efficient evolutionary algorithm for accurate polygonal ...

Request PDF | An efficient evolutionary algorithm for accurate polygonal approximation | An optimization problem for polygonal approximation of 2-D shapes ...

(PDF) Evolutionary value function approximation | Mohsen ...

Free PDF. Sample-efficient evolutionary function approximation for reinforcement learning Cover Page · Evolutionary Computation for Reinforcement Learning.

Fitness approximation in evolutionary computation - A survey

The environment of the evolutionary algorithm is noisy. Usually, there are two methods to deal with noisy fitness functions. The first one is to sample the ...

Evolutionary Function Approximation for Reinforcement Learning

evolutionary function approximation, a novel approach to automatically selecting function approximator representations that enable efficient in- dividual ...

Evolutionary Function Approximation for Reinforcement Learning

This paper investigates evolutionary function approximation, a novel approach to automatically selecting function approximator representations that enable ...