Forward-Looking Actor

Introduced by Wei et al. in FORK: A Forward-Looking Actor For Model-Free Reinforcement Learning

FORK, or Forward Looking Actor is a type of actor for actor-critic algorithms. In particular, FORK includes a neural network that forecasts the next state given the current state and current action, called system network; and a neural network that forecasts the reward given a (state, action) pair, called reward network. With the system network and reward network, FORK can forecast the next state and consider the value of the next state when improving the policy.

Source: FORK: A Forward-Looking Actor For Model-Free Reinforcement Learning

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Papers

Paper	Code	Results	Date	Stars

Tasks

Task	Papers	Share
Reinforcement Learning (RL)	1	100.00%

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Actor-Critic Algorithms