ベンチマークの例
事前定義済みの環境における既定の強化学習エージェントの比較
さまざまなタイプの強化学習エージェントは、多様な、そして一般的には相補的な長所と短所をもっています。異なるエージェントのパフォーマンスをさまざまなベンチマーク問題で比較します。
チュートリアル
- Compare Agents on Basic Grid World
Compare discrete action space agents on the basic grid world environment. - Compare Agents on Deterministic Waterfall Grid World
Compare discrete action space agents on the deterministic waterfall grid world environment. - Compare Agents on Stochastic Waterfall Grid World
Compare discrete action space agents on the stochastic waterfall grid world environment. - Compare Agents on Discrete Double-Integrator
Compare default agents on the MATLAB® discrete action space double-integrator environment. - Compare Agents on Discrete Cart-Pole
Compare default agents on the MATLAB discrete action space cart-pole environment. - Compare Agents on the Discrete Pendulum Swing-Up
Compare default agents on the Simulink® discrete action space simple pendulum swing-up environment. - Compare Agents on Discrete Simscape Cart-Pole Swing-Up
Compare default agents on the Simscape™ Multibody™ discrete action space cart-pole swing-up environment. - Compare Agents on Discrete Pendulum Swing-Up with Image
Compare default agents on the MATLAB discrete action space pendulum swing-up with image environment. - Compare Agents on Continuous Double-Integrator
Compare default agents on the MATLAB continuous action space double-integrator environment. - Compare Agents on Continuous Cart Pole
Compare default agents on the MATLAB continuous action space cart-pole environment. - Compare Agents on Continuous Pendulum Swing-Up
Compare default agents on the Simulink continuous action space simple pendulum swing-up environment. - Compare Agents on Continuous Cart Pole Swing-Up
Compare default agents on the Simscape Multibody continuous action space cart-pole swing-up environment. - Compare Agents on Continuous Pendulum Swing-Up with Image
Compare default agents on the MATLAB continuous action space simple pendulum swing-up with image environment.
グリッド ワールド環境におけるエージェントの比較
事前定義済みの離散制御システム環境におけるエージェントの比較
事前定義済みの連続制御システム環境におけるエージェントの比較
注目の例
Compare DDPG Agent to LQR Controller
Train a DDPG agent with custom approximator to control a second-order dynamic system modeled in MATLAB and compare it to an LQR controller.
