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BipedalWalkerHardcore v2
Bipedal Walker Hardcore Untrained
We Let an AI Run Experiments Overnight. It Solved BipedalWalkerHardcore
Bipedal Walker Hardcore
Reinforcement Learning: Bipedal Walker (Hardcore vs Normal)
RELAAX - TRPO-GAE with OpenAI Gym's BipedalWalkerHardcore-v2 at 64000
TD3 BipedalWalkerHardcore-v3
BiPedal Walker Hardcore v2
SAC applied to OpenAI Gym BipedalWalkerHardcore-v3
SDAC-BipedalWalkerHardcore-1
TD3-FORK on BipedalWalkerHardcore-v3
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Last Updated: September 30, 2026
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Summary
Control Algorithm: PMTG (CPG + SAC) Solved in 7280 episodes Average reward over 100 episodes: 302.92 Solving requiremnt: ... Bipedal Hardcore solve with Soft Actor Critic Problem: gymlibrary.dev/environments/box2d/bipedal_walker/ Solution ... Remoroo is an engineering agent designed for autonomous experimentation. In this video, we demonstrate how Remoroo ... In this video, I showcase the results of training a bipedal walker using Reinforcement Learning (RL). The walker is trained in two ... Sample of RELAAX Docker Container for the OpenAI Gym: hub.docker.com/r/deeplearninc/relaax-gym/ docker pull ... Currently best performing agent by me. Example trajectory. Link to code: github.com/nkasmanoff/walker. The code can be found at github.com/BolunDai0216/DeepReinforcementLearning/tree/main/HW3.