Understanding Evolution Of Bipedalwalker V2
Let's dive into the details surrounding Evolution Of Bipedalwalker V2. This compiles some snapshot runs during training for solving the
Key Takeaways about Evolution Of Bipedalwalker V2
- This is one iteration of the walker I trained that solved the task(100 consecutive 300+). The writeup, code and checkpoint file can ...
- Augmented Random Search to make a a 2D biped walker to walk through rough terrain Github: ...
- No - Batch Norm Yes - DDPG Yes - Densely Connected Network Yes - Epsilon Greedy.
- Applying DDPG to Open AI Gyms
- Solving
Detailed Analysis of Evolution Of Bipedalwalker V2
BipedalWalker Shows the Initial result of the adjustment of a dense neural network to control the agent in the
Agent trained about 30k episodes per worker in ~21h on a single CPU, with 4 workers.
That wraps up our extensive overview of Evolution Of Bipedalwalker V2.
