Closed Xander-Hinrichsen closed 3 weeks ago
PushT from diffusion policy digital twin
Created PandaStick agent Fully batched calculation for T block intersection area with goal T area, zero explicit loops
Support for ur5e robot is a todo for true twinness Wristcam attached to PandaStick is a todo for visual based RL/IL
ppo args (consistent learning): python ppo.py --env_id="PushT-v1" --exp-name="final_run" --num_envs=1024 --update_epochs=8 --num_minibatches=32 --total_timesteps=55_000_000 --eval_freq=8 --num-steps=100 --num_eval_steps=100 --gamma=0.99
@StoneT2000 , could I request a review on this PR please? Thank you!
@StoneT2000 , I've made the changes. Let me know if there are any more issues
PushT from diffusion policy digital twin
Created PandaStick agent Fully batched calculation for T block intersection area with goal T area, zero explicit loops
Support for ur5e robot is a todo for true twinness Wristcam attached to PandaStick is a todo for visual based RL/IL
ppo args (consistent learning): python ppo.py --env_id="PushT-v1" --exp-name="final_run" --num_envs=1024 --update_epochs=8 --num_minibatches=32 --total_timesteps=55_000_000 --eval_freq=8 --num-steps=100 --num_eval_steps=100 --gamma=0.99