Introduction to Bipedalwalkerhardcore V2
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Bipedalwalkerhardcore V2 Comprehensive Overview
BiPedal Walker Hardcore v2 Reinforcement Learning Research - Agent Growth - Ant-v2 OpenAI Gym - gen3 Reinforcement Learning Research - Agent Growth - Ant-v2 OpenAI Gym - gen11
Open AI
Summary & Highlights for Bipedalwalkerhardcore V2
- Control Algorithm: PMTG (CPG + SAC) Solved in 7280 episodes Average reward over 100 episodes: 302.92 Solving requiremnt: ...
- Sample of RELAAX Docker Container for the OpenAI Gym: https://hub.docker.com/r/deeplearninc/relaax-gym/ docker pull ...
- Near one hour of training on home computer. Link to configuration: ...
- Bipedal Hardcore solve with Soft Actor Critic Problem: https://www.gymlibrary.dev/environments/box2d/bipedal_walker/ Solution ...
- OpenAI Gym BipedalWalkerHardcoreV2. Framework which I created and used https://github.com/parilo/tars-rl There are bunch of ...
That wraps up our extensive overview of Bipedalwalkerhardcore V2.