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half-cheetah with developmental layers
Half-cheetah deep reinforcement learning
Hybrid Control for Reinforcement Learning---the Half-Cheetah Benchmark
[Testing] SAC Algorithm Half Cheetah Enviroment
TD3 Half Cheetah Bullet Environment up to 600 Iterations
HalfCheetah Expert
Robot Locomotion with Deep Reinforcement Learning (SVRPG on Half-Cheetah)
2023-10-03 FetchReach MuJoCo Gymnasium Environment with Random Policy
ReinforcementLearning:HalfCheetah-v2
Event-triggered control in the MuJoCo Cheetah environment (PPO baseline)
DDPG Parameter Tuning - Half Cheetah
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Last Updated: October 2, 2026
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Summary
The start of another reinforcement learning project. This video depicts the gait behavior of the Made with DDRL library : github.com/matthieu637/ddrl DDPG + NFAC(lambda) Our IJRR paper (with Allison Pinosky, Ian Abraham, Alex Broad, and Brenna Argall) on hybrid control for reinforcement learning is ... Parameter -500 Episodes -alpha 0.0004 -beta 0.0004 -gamma 0.99 -tau 0.0065. Pytorch implementation of the Twin Delayed Deep Deterministic Policy Gradient within the Locomotion task learned from scratch with SVRPG, a Policy Gradient algorithm Visualize training episodes progress. This shows the effect of different training parameters on the gait learned by
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