stanfordnmbl / osim-rlLinks
Reinforcement learning environments with musculoskeletal models
☆924Updated 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:
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,460Updated 2 years ago
- Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.☆863Updated 4 years ago
- Evolution Strategies Tool☆952Updated 2 years ago
- Code for the paper "Meta-Learning Shared Hierarchies"☆619Updated 2 years ago
- Code for the paper "Generative Adversarial Imitation Learning"☆723Updated 6 years ago
- Code for the paper "Emergent Complexity via Multi-agent Competition"☆825Updated 2 years ago
- A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning ag…☆663Updated 6 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,119Updated 8 years ago
- Efficient Batched Reinforcement Learning in TensorFlow☆970Updated 6 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,013Updated 2 years ago
- Open-Source Distributed Reinforcement Learning Framework by Stanford Vision and Learning Lab☆491Updated 5 years ago
- DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.☆2,160Updated 2 years ago
- ☆305Updated 2 years ago
- Implementation of TRPO and related algorithms☆638Updated 7 years ago
- Lua/Torch implementation of DQN (Nature, 2015)☆614Updated 8 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆360Updated 5 years ago
- Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.☆657Updated 5 years ago
- S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics☆645Updated 4 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,184Updated 3 years ago
- PlayGround: AI Research into Multi-Agent Learning.☆772Updated last year
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆575Updated 2 years ago
- Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"☆1,603Updated 5 years ago
- An implementation of the Augmented Random Search algorithm☆425Updated 4 years ago
- Code for the paper "Large-Scale Study of Curiosity-Driven Learning"☆827Updated 4 years ago
- [RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering☆374Updated 2 years ago
- World Models Experiments☆665Updated 3 years ago
- Deep Neuroevolution☆1,656Updated last year
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,306Updated this week
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,525Updated last year
- Learning Latent Dynamics for Planning from Pixels☆1,209Updated 2 years ago