google-deepmind / dm_control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
☆3,802Updated this week
Related projects ⓘ
Alternatives and complementary repositories for dm_control
- MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.☆2,868Updated 10 months ago
- Collection of reinforcement learning algorithms☆2,498Updated 4 months ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,115Updated last week
- Reinforcement Learning in PyTorch☆2,233Updated 3 years ago
- A toolkit for reproducible reinforcement learning research.☆1,878Updated last year
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,909Updated last year
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,508Updated 6 months ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,155Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,215Updated 11 months ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,186Updated 6 months ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,256Updated 2 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,133Updated 2 years ago
- Learning Latent Dynamics for Planning from Pixels☆1,176Updated last year
- Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.☆829Updated 3 years ago
- Python library for Reinforcement Learning.☆820Updated 3 weeks ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,594Updated 2 years ago
- A library of reinforcement learning components and agents☆3,502Updated last week
- A Platform for Many-Agent Reinforcement Learning☆1,691Updated 2 years ago
- TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.☆2,797Updated last month
- Paper list of multi-agent reinforcement learning (MARL)☆4,035Updated 3 weeks ago
- Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning☆1,266Updated this week
- Massively parallel rigidbody physics simulation on accelerator hardware.☆2,323Updated last week
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,418Updated last year
- Clean PyTorch implementations of imitation and reward learning algorithms☆1,322Updated 3 months ago
- The Arcade Learning Environment (ALE) -- a platform for AI research.☆2,170Updated this week
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,372Updated 7 months ago
- TensorFlow Reinforcement Learning☆3,134Updated last year
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,329Updated last year
- For deep RL and the future of AI.☆1,420Updated 8 months ago
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,068Updated this week