half-cheetah

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Rahul-Choudhary-3614 / Deep-Reinforcement-Learning-Notebooks
This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.
dqn ddqn a2c a3c soft-actor-critic noisy-networks ppo reinforce-algorithm sarsa prioritized-experience-replay ddpg-algorithm deep-reinforcement-learning kungfumaster-v0 cartpole-v0 doom half-cheetah ant-v2 rainbow
Language:Jupyter Notebook 37
ashutoshtiwari13 / Simple-Random-Search
A simple random searching technique which provides a competitive approach to Reinforcement learning for Locomotion related tasks on Mu-Jo-Co bodies like Humanoid, Half-Cheetah etc
ars numpy random-search reinforcement-learning-algorithms reinforcement-learning pybullet mujuco humanoid-walking half-cheetah
Language:Python 7
reiniscimurs / TD3_Separate_Action
Twin-Delayed Deep Deterministic Policy Gradient network for HalfCheetahBulletEnv-v0 environment
actor-critic half-cheetah pybullet pytorch reinforcement-learning td3
Language:Python 2
sadevans / HalfCheetah
RL algorithms: ppo, ddpg
ddpg half-cheetah ppo reinforcement-learning reinforcement-learning-algorithms
Language:Python

Rahul-Choudhary-3614 / Deep-Reinforcement-Learning-Notebooks