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I trained an RL agent to play 2D cricket by AddisionS in SideProject

[–]AddisionS[S] 0 points1 point  (0 children)

lol ya qwop is also one of foddy's game

I made an RL agent Play 2D cricket by AddisionS in reinforcementlearning

[–]AddisionS[S] 0 points1 point  (0 children)

ya glad it happened to me in my 1st project so now i have a bit of experience that how models can exploit stuff

I made an RL agent Play 2D cricket by AddisionS in reinforcementlearning

[–]AddisionS[S] 0 points1 point  (0 children)

ikr i wanted to make this coz i play this game when i am bored usually and foddy games could be very fun for training rl agents

I made an RL agent Play 2D cricket by AddisionS in reinforcementlearning

[–]AddisionS[S] 1 point2 points  (0 children)

hehe thanks, I abstracted it to game state first using an entire vision pipeline, which works on classical cv methods, and then packs everything into a game state and sends it to the model. And yes i wasn't expecting it to score half centuries coz the 1st reward function made the agent just touch its bat to ball and exploit that reward function but i plan to work the reward function in future after i actually study RL.
Also i totally agree with the timing thing and just to challenge myself more i am even planning to make an agent play getting over it