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3.14 Figure 5: Computation of factored discrete probability distribution in Atari domain experiment parameters slice 8-d output of final fully-connected layer softmax softmax softmax Probabilities Table 2: Parameters for continuous control tasks, vine and single path (SP) algorithms. Swimmer Hopper Walker 50 1000 1000 1000 1000 5 35 100 3.14 experiment parameters 43 State space dim. Control space dim. Total num. policy params Sim. steps per iter. Policy iter. Stepsize (DKL ) Hidden layer size Discount (γ) Vine: rollout length Vine: rollouts per state Vine: Q-values per batch Vine: num. rollouts for sampling Vine: len. rollouts for sampling Vine: computation time (minutes) SP: num. path SP: path len. SP: computation time 10 12 20 2 3 6 364 4806 8206 50K 1M 1M 200 200 200 0.01 0.01 0.01 30 50 50 0.99 0.99 0.99 50 100 100 4 4 4 500 2500 2500 16 16 16 1000 1000 1000 2 14 40 10000PDF Image | OPTIMIZING EXPECTATIONS: FROM DEEP REINFORCEMENT LEARNING TO STOCHASTIC COMPUTATION GRAPHS
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