Exploring Reinforcement Learning Bipedalwalker V2
Welcome to our comprehensive guide on Reinforcement Learning Bipedalwalker V2.
- Agent trained about 30k episodes per worker in ~21h on a single CPU, with 4 workers.
- This compiles some snapshot runs during training for solving the
- deeplearning #
- Control Algorithm: PMTG (CPG + SAC) Solved in 7280 episodes Average reward over 100 episodes: 302.92 Solving requiremnt: ...
- bipedalwalker
In-Depth Information on Reinforcement Learning Bipedalwalker V2
Shows the BipedalWalker Semestral project for Evolutionary robotics at MFF UK [https://www.mff.cuni.cz/en] We got inspired by paper from Uber AI Labs ... This is one iteration of the walker I trained that solved the task(100 consecutive 300+). The writeup, code and checkpoint file can ...
PPO algorithm.
In summary, understanding Reinforcement Learning Bipedalwalker V2 gives us a better perspective.
