google-deepmind / dm_controlLinks
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
☆4,437Updated last week
Alternatives and similar repositories for dm_control
Users that are interested in dm_control are comparing it to the libraries listed below
Sorting:
- MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.☆3,109Updated 2 years ago
- A toolkit for reproducible reinforcement learning research.☆2,074Updated 2 years ago
- Collection of reinforcement learning algorithms☆2,855Updated last year
- Simple and easily configurable grid world environments for reinforcement learning☆2,394Updated last month
- Reinforcement Learning in PyTorch☆2,277Updated 5 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,319Updated 3 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,039Updated 2 years ago
- Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning☆1,728Updated 2 weeks ago
- Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.☆876Updated 4 years ago
- A library of reinforcement learning components and agents☆3,911Updated 3 weeks ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,400Updated 2 years ago
- Massively parallel rigidbody physics simulation on accelerator hardware.☆3,046Updated last week
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,714Updated last month
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,529Updated last year
- ☆1,311Updated last year
- Python library for Reinforcement Learning.☆917Updated 6 months ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,332Updated this week
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,872Updated 3 years ago
- Clean PyTorch implementations of imitation and reward learning algorithms☆1,688Updated last year
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,196Updated 3 years ago
- DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.☆2,165Updated 2 years ago
- A collection of reference environments for offline reinforcement learning☆1,644Updated last year
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,399Updated last year
- Learning Latent Dynamics for Planning from Pixels☆1,234Updated 2 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,470Updated 3 years ago
- Reinforcement learning environments with musculoskeletal models☆941Updated 4 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆2,030Updated 2 years ago
- TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.☆2,988Updated 3 weeks ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,661Updated 4 years ago
- Library for Model Based RL☆1,049Updated last year