Exploring Half Cheetah Deep Reinforcement Learning
Exploring Half Cheetah Deep Reinforcement Learning reveals several interesting facts.
- This shows the effect of different training parameters on the gait learned by
- Our IJRR paper (with Allison Pinosky, Ian Abraham, Alex Broad, and Brenna Argall) on hybrid control for
- MuJoCo Hal-
- Made with DDRL library : https://github.com/matthieu637/ddrl DDPG + NFAC(lambda)
- Visualize training episodes progress.
In-Depth Information on Half Cheetah Deep Reinforcement Learning
Made with DDRL library : https://github.com/matthieu637/ddrl. Locomotion task learned from scratch with SVRPG, a Policy Gradient algorithm Simulator: http://www.mujoco.org/ Todorov, ... The start of another Hello to everyone in the world! It's time for
Cheetah
Stay tuned for more updates related to Half Cheetah Deep Reinforcement Learning.
