Alternatives and similar repositories for ml-agents-1

Users that are interested in ml-agents-1 are comparing it to the libraries listed below

• IanYangChina / pybullet_multigoal_gym
  Pybullet version of the multigoal robotics environment from OpenAI Gym
  ☆94Updated last year
• quantumiracle / QT_Opt
  Q-network with cross-entropy (CE) method for reinforcement learning.
  ☆53Updated 5 years ago
• kairproject / kair_algorithms_draft
  Reinforcement learning algorithms for robot control tasks
  ☆27Updated 10 months ago
• IanYangChina / UOF-paper-code
  Official implementation for the UOF paper (algorithm & environment)
  ☆32Updated last year
• PierreExeter / rl_reach
  RL Reach is a platform for running reproducible reinforcement learning experiments.
  ☆42Updated 4 years ago
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆74Updated last year
• roboticsleeds / mujoco-ur5-model
  Mujoco Model for UR5-Ridgeback-Robotiq Robot
  ☆40Updated 6 years ago
• clvrai / skimo
  Skill-based Model-based Reinforcement Learning (CoRL 2022)
  ☆60Updated 2 years ago
• sholtodouglas / pointMass
  pointMass pybullet RL environment for simple experiments
  ☆23Updated 3 years ago
• KarlXing / RL-Visual-Continuous-Control
  RL Algorithms for Visual Continuous Control
  ☆33Updated 2 years ago
• hcnoh / gail-pytorch
  A simple implementation of Generative Adversarial Imitation Learning with PyTorch
  ☆160Updated 3 years ago
• hari-sikchi / AWAC
  Advantage weighted Actor Critic for Offline RL
  ☆50Updated 2 years ago
• ARISE-Initiative / robosuite-benchmark
  Benchmarking Repository for robosuite + SAC
  ☆65Updated 3 years ago
• akshay-iyer / FetchSlide_DDPG_HER
  DDPG + HER implementation in PyTorch for FetchSlide Robot
  ☆19Updated 2 years ago
• Jason-CKY / DeepRL-pytorch
  Pytorch implementations of various Deep Reinforcement Learning algorithms on pybullet environments.
  ☆29Updated 3 years ago
• rvl-lab-utoronto / panda_robot
  Python3 ROS Interface with the Franka Emika Panda robot arm. Includes support for OpenAI Gym based interfaces.
  ☆30Updated 4 years ago
• ChengshuLi / HRL4IN
  Code for CoRL 2019 paper: HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators
  ☆62Updated 3 years ago
• deep-reinforcement-learning-book / Chapter16-Robot-Learning-in-Simulation
  Chapter 16 Robot Learning in Simulation in book Deep Reinforcement Learning: example of Sawyer robot learning to reach the target with pa…
  ☆53Updated 3 years ago
• clvrai / mopa-rl
  Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments (CoRL 2020)
  ☆77Updated 2 years ago
• harry-uglow / Curriculum-Reinforcement-Learning
  Novel Reinforcement Learning method for tackling goal-oriented robotics tasks with obstacles.
  ☆36Updated 3 years ago
• MarcoMeter / recurrent-ppo-truncated-bptt
  Baseline implementation of recurrent PPO using truncated BPTT
  ☆147Updated last year
• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆56Updated last year
• apexrl / GCRL-Collection
  This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…
  ☆133Updated 2 years ago
• elharirymatteo / RANS
  ☆34Updated 7 months ago
• elliotchanesane31 / RIS
  ☆53Updated 3 years ago
• alirezakazemipour / DIAYN-PyTorch
  Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.
  ☆68Updated last year
• Kukanani / tune-net-release
  Code for CoRL 2019 paper "TuneNet: One-Shot Residual Tuning for System Identification and Sim-to-Real Robot Task Transfer"
  ☆25Updated 5 years ago
• IanYangChina / DRL_Implementation
  A DRL implementation repo
  ☆21Updated last month
• eager-dev / eagerx
  EAGERx is a physics engine abstraction layer for reinforcement learning. EAGERx allows switching between simulators and reality with a si…
  ☆119Updated 8 months ago
• makiJanus / Easy_DRL_Isaac_Sim
  ☆66Updated last year