uber-research / deep-neuroevolutionLinks
Deep Neuroevolution
☆1,654Updated last year
Alternatives and similar repositories for deep-neuroevolution
Users that are interested in deep-neuroevolution are comparing it to the libraries listed below
Sorting:
- Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"☆1,593Updated 5 years ago
- Evolution Strategies Tool☆951Updated 2 years ago
- Code for the paper "Large-Scale Study of Curiosity-Driven Learning"☆820Updated 3 years ago
- Efficient Batched Reinforcement Learning in TensorFlow☆968Updated 6 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,445Updated 2 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆1,008Updated 6 years ago
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,315Updated last year
- TensorFlow Reinforcement Learning☆3,133Updated 2 years ago
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,350Updated 2 years ago
- ☆559Updated 2 years ago
- Code for the paper "Exploration by Random Network Distillation"☆905Updated 4 years ago
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,524Updated last year
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,291Updated 5 months ago
- Code for the paper "Meta-Learning Shared Hierarchies"☆615Updated 2 years ago
- PlayGround: AI Research into Multi-Agent Learning.☆773Updated last year
- A Platform for Many-Agent Reinforcement Learning☆1,747Updated 2 years ago
- Learning Latent Dynamics for Planning from Pixels☆1,205Updated 2 years ago
- A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning ag…☆663Updated 5 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,112Updated 7 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,988Updated 2 years ago
- Code for the paper "Emergent Complexity via Multi-agent Competition"☆818Updated 2 years ago
- Deep Reinforcement Learning Framework + Algorithms☆416Updated 2 years ago
- ChainerRL is a deep reinforcement learning library built on top of Chainer.☆1,197Updated 3 years ago
- Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.☆657Updated 5 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,637Updated 3 years ago
- Lua/Torch implementation of DQN (Nature, 2015)☆609Updated 8 years ago
- Spriteworld: a flexible, configurable python-based reinforcement learning environment☆370Updated 5 years ago
- World Models☆455Updated 4 years ago
- An implementation of the Augmented Random Search algorithm☆424Updated 3 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,183Updated 2 years ago