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Reinforcement Learning: Bipedal Walker (Hardcore vs Normal)
Bipedal Walker Hardcore Untrained
BipedalWalkerHardcore
Trained agent for OpenAI BipedalWalker-v3 environment.
BipedalWalker-v3 velocity control
TD3-FORK on BipedalWalkerHardcore-v3
Bipedal walker hardcore solved with SAC
We Let an AI Run Experiments Overnight. It Solved BipedalWalkerHardcore
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Last Updated: October 1, 2026
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Summary
Control Algorithm: PMTG (CPG + SAC) Solved in 7280 episodes Average reward over 100 episodes: 302.92 Solving requiremnt: ... The code can be found at github.com/BolunDai0216/DeepReinforcementLearning/tree/main/HW3. Currently best performing agent by me. Example trajectory. Link to code: github.com/nkasmanoff/walker. In this video, I showcase the results of training a bipedal walker using Reinforcement Learning (RL). The walker is trained in two ... 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 demonstrate training a RL algorithm in the BipedalWalker-