Introduction to Bipedalwalkerhardcore V2
Let's dive into the details surrounding Bipedalwalkerhardcore V2. 15 minutes of
Bipedalwalkerhardcore V2 Comprehensive Overview
Sample of RELAAX Docker Container for the OpenAI Gym: https://hub.docker.com/r/deeplearninc/relaax-gym/ docker pull ... Remoroo is an engineering agent designed for autonomous experimentation. In this video, we demonstrate how Remoroo ... Near one hour of training on home computer. Link to configuration: ...
Agent trained about 30k episodes per worker in ~21h on a single CPU, with 4 workers.
Summary & Highlights for Bipedalwalkerhardcore V2
- Reinforcement Learning Research - Agent Growth - Ant-v2 OpenAI Gym - gen3
- Control Algorithm: PMTG (CPG + SAC) Solved in 7280 episodes Average reward over 100 episodes: 302.92 Solving requiremnt: ...
- BiPedal Walker Hardcore
- Reinforcement Learning Research - Agent Growth - Ant-v2 OpenAI Gym - gen11
- This is one iteration of the walker I trained that solved the task(100 consecutive 300+). The writeup, code and checkpoint file can ...
That wraps up our extensive overview of Bipedalwalkerhardcore V2.