import{s as J,f as V,n as ee,o as te}from"../chunks/scheduler.37c15a92.js";import{S as ne,i as ae,g as l,s,r as I,A as se,h as o,f as n,c as i,j as X,u as D,x as _,k as G,y as ie,a,v as S,d as K,t as Q,w as j}from"../chunks/index.7cb9c9b8.js";import{H as Y,E as le}from"../chunks/EditOnGithub.858acfec.js";function oe(q){let r,L,$,b,m,x,u,B="Congrats on finishing this chapter! There was a lot of information. And congrats on finishing the tutorials. You’ve just implemented your first RL agent from scratch and shared it on the Hub 🥳.",C,f,N="Implementing from scratch when you study a new architecture <strong>is important to understand how it works.</strong>",T,p,Z="It’s <strong>normal if you still feel confused</strong> by all these elements. <strong>This was the same for me and for everyone who studies RL.</strong>",M,c,F="Take time to really grasp the material before continuing.",P,h,O='In the next chapter, we’re going to dive deeper by studying our first Deep Reinforcement Learning algorithm based on Q-Learning: Deep Q-Learning. And you’ll train a <strong>DQN agent with <a href="https://github.com/DLR-RM/rl-baselines3-zoo">RL-Baselines3 Zoo</a> to play Atari Games</strong>.',H,g,U,E,d,W='Finally, we would love <strong>to hear what you think of the course and how we can improve it</strong>. If you have some feedback then please 👉  <a href="https://forms.gle/BzKXWzLAGZESGNaE9" rel="nofollow">fill this form</a>',k,w,A,v,R,y,z;return m=new Y({props:{title:"Conclusion",local:"conclusion",headingTag:"h1"}}),w=new Y({props:{title:"Keep Learning, stay awesome 🤗",local:"keep-learning-stay-awesome-",headingTag:"h3"}}),v=new le({props:{source:"https://github.com/huggingface/deep-rl-class/blob/main/units/en/unit2/conclusion.mdx"}}),{c(){r=l("meta"),L=s(),$=l("p"),b=s(),I(m.$$.fragment),x=s(),u=l("p"),u.textContent=B,C=s(),f=l("p"),f.innerHTML=N,T=s(),p=l("p"),p.innerHTML=Z,M=s(),c=l("p"),c.textContent=F,P=s(),h=l("p"),h.innerHTML=O,H=s(),g=l("img"),E=s(),d=l("p"),d.innerHTML=W,k=s(),I(w.$$.fragment),A=s(),I(v.$$.fragment),R=s(),y=l("p"),this.h()},l(e){const t=se("svelte-u9bgzb",document.head);r=o(t,"META",{name:!0,content:!0}),t.forEach(n),L=i(e),$=o(e,"P",{}),X($).forEach(n),b=i(e),D(m.$$.fragment,e),x=i(e),u=o(e,"P",{"data-svelte-h":!0}),_(u)!=="svelte-1ll2a69"&&(u.textContent=B),C=i(e),f=o(e,"P",{"data-svelte-h":!0}),_(f)!=="svelte-pcd0i6"&&(f.innerHTML=N),T=i(e),p=o(e,"P",{"data-svelte-h":!0}),_(p)!=="svelte-6b88zi"&&(p.innerHTML=Z),M=i(e),c=o(e,"P",{"data-svelte-h":!0}),_(c)!=="svelte-c01ybw"&&(c.textContent=F),P=i(e),h=o(e,"P",{"data-svelte-h":!0}),_(h)!=="svelte-5x0a01"&&(h.innerHTML=O),H=i(e),g=o(e,"IMG",{src:!0,alt:!0}),E=i(e),d=o(e,"P",{"data-svelte-h":!0}),_(d)!=="svelte-ol1ouv"&&(d.innerHTML=W),k=i(e),D(w.$$.fragment,e),A=i(e),D(v.$$.fragment,e),R=i(e),y=o(e,"P",{}),X(y).forEach(n),this.h()},h(){G(r,"name","hf:doc:metadata"),G(r,"content",re),V(g.src,U="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit4/atari-envs.gif")||G(g,"src",U),G(g,"alt","Atari environments")},m(e,t){ie(document.head,r),a(e,L,t),a(e,$,t),a(e,b,t),S(m,e,t),a(e,x,t),a(e,u,t),a(e,C,t),a(e,f,t),a(e,T,t),a(e,p,t),a(e,M,t),a(e,c,t),a(e,P,t),a(e,h,t),a(e,H,t),a(e,g,t),a(e,E,t),a(e,d,t),a(e,k,t),S(w,e,t),a(e,A,t),S(v,e,t),a(e,R,t),a(e,y,t),z=!0},p:ee,i(e){z||(K(m.$$.fragment,e),K(w.$$.fragment,e),K(v.$$.fragment,e),z=!0)},o(e){Q(m.$$.fragment,e),Q(w.$$.fragment,e),Q(v.$$.fragment,e),z=!1},d(e){e&&(n(L),n($),n(b),n(x),n(u),n(C),n(f),n(T),n(p),n(M),n(c),n(P),n(h),n(H),n(g),n(E),n(d),n(k),n(A),n(R),n(y)),n(r),j(m,e),j(w,e),j(v,e)}}}const re='{"title":"Conclusion","local":"conclusion","sections":[{"title":"Keep Learning, stay awesome 🤗","local":"keep-learning-stay-awesome-","sections":[],"depth":3}],"depth":1}';function me(q){return te(()=>{new URLSearchParams(window.location.search).get("fw")}),[]}class ce extends ne{constructor(r){super(),ae(this,r,me,oe,J,{})}}export{ce as component};
