6 results found Sort:

vikashplus
robohive vikashplus
81
449
apache-2.0
11
A unified framework for robot learning
tasks mujoco python robotics benchmarks simulation environments robot-learning robot-framework imitation-learning mujoco-environments reinforcement-learning
Created 2018-07-06
647 commits to main branch, last one 3 months ago
aravindr93
hand_dapg aravindr93
31
206
apache-2.0
7
Repository to accompany RSS 2018 paper on dexterous hand manipulation
robotics simulation imitation-learning mujoco-environments reinforcement-learning
Created 2018-06-03
14 commits to master branch, last one 4 years ago
tayalmanan28
MuJoCo-Tutorial tayalmanan28
24
118
mit
0
Tutorial on how to get started with MuJoCo Simulation Platform. MuJoCo stands for Multi-Joint dynamics with Contact. It was acquired and made freely available by DeepMind in October 2021, and open sou...
mujoco python deepmind robotics simulation hacktoberfest hacktoberfest2022 mujoco-environments hacktoberfest-accepted
Created 2022-05-28
46 commits to main branch, last one 3 months ago
qlan3
Explorer qlan3
13
87
mit
4
Explorer is a PyTorch reinforcement learning framework for exploring new ideas.
dqn gym ppo pytorch q-learning actor-critic deep-learning policy-gradient mujoco-environments pybullet-environments deepmind-control-suite reinforcement-learning deep-reinforcement-learning reinforcement-learning-frame
Created 2019-05-23
212 commits to master branch, last one 4 months ago
NickKaparinos
OpenAI-Gym-Projects NickKaparinos
11
62
mit
1
OpenAI Gym environment solutions using Deep Reinforcement Learning.
dqn gym sac mujoco python tianshou deep-learning stable-baselines3 mujoco-environments deep-reinforcement-learning
Created 2021-09-03
45 commits to master branch, last one 2 years ago
adipandas
gym_multirotor adipandas
11
42
mit
4
Multi-rotor Gym
uav mujoco python3 robotics mujoco-py quadrotor openai-gym quadcopter deep-learning gym-environment mujoco-environments reinforcement-learning
Created 2021-10-01
22 commits to main branch, last one about a year ago