벤치마크 예제
사전 정의된 환경에서 디폴트 강화 학습 에이전트 비교
강화 학습 에이전트는 그 유형이 다양할 뿐만 아니라 각각의 장단점이 각양각색이면서도 상호 보완적인 경우가 많습니다. 다양한 벤치마크 문제를 대상으로 여러 에이전트의 성능을 비교합니다.
튜토리얼
- 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.
그리드 월드 환경에서 에이전트 비교하기
미리 정의된 이산 제어 시스템 환경에서 에이전트 비교하기
미리 정의된 연속 제어 시스템 환경에서 에이전트 비교하기
추천 예제
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.
