stanfordnmbl / osim-rlLinks
Reinforcement learning environments with musculoskeletal models
☆918Updated 3 years ago
Alternatives and similar repositories for osim-rl
Users that are interested in osim-rl are comparing it to the libraries listed below
Sorting:
- Code for the paper "Generative Adversarial Imitation Learning"☆712Updated 6 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,439Updated 2 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,110Updated 7 years ago
- Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.☆852Updated 3 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,972Updated 2 years ago
- S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics☆638Updated 4 years ago
- Code for the paper "Meta-Learning Shared Hierarchies"☆616Updated last year
- Efficient Batched Reinforcement Learning in TensorFlow☆969Updated 6 years ago
- Implementation of TRPO and related algorithms☆632Updated 7 years ago
- MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.☆3,009Updated last year
- DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.☆2,152Updated 2 years ago
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,348Updated 2 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,180Updated 2 years ago
- Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.☆4,108Updated last week
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆1,005Updated 6 years ago
- World Models Experiments☆648Updated 2 years ago
- ☆303Updated 2 years ago
- Implementations of Reinforcement Learning Models in Tensorflow☆487Updated 7 years ago
- Code for the paper "Large-Scale Study of Curiosity-Driven Learning"☆819Updated 3 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,307Updated last year
- PlayGround: AI Research into Multi-Agent Learning.☆772Updated last year
- A toolkit for reproducible reinforcement learning research.☆1,984Updated 2 years ago
- Evolution Strategies Tool☆951Updated 2 years ago
- Code for the paper "Emergent Complexity via Multi-agent Competition"☆815Updated 2 years ago
- Open-Source Distributed Reinforcement Learning Framework by Stanford Vision and Learning Lab☆489Updated 5 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆425Updated last year
- Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…☆274Updated 7 years ago
- Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.☆657Updated 5 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆361Updated 5 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,740Updated 2 years ago