uber-research / deep-neuroevolutionLinks
Deep Neuroevolution
☆1,656Updated 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"☆1,602Updated 5 years ago
- Evolution Strategies Tool☆950Updated 2 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆1,011Updated 6 years ago
- TensorFlow Reinforcement Learning☆3,135Updated 2 years ago
- Efficient Batched Reinforcement Learning in TensorFlow☆969Updated 6 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,455Updated 2 years ago
- Code for the paper "Large-Scale Study of Curiosity-Driven Learning"☆823Updated 4 years ago
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,347Updated 2 years ago
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,527Updated last year
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,316Updated last year
- Learning Latent Dynamics for Planning from Pixels☆1,208Updated 2 years ago
- ☆561Updated 2 years ago
- Code for the paper "Exploration by Random Network Distillation"☆910Updated 5 years ago
- PlayGround: AI Research into Multi-Agent Learning.☆774Updated last year
- A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning ag…☆663Updated 6 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,304Updated this week
- Spriteworld: a flexible, configurable python-based reinforcement learning environment☆373Updated 5 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,118Updated 7 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,748Updated 2 years ago
- Code for the paper "Meta-Learning Shared Hierarchies"☆618Updated 2 years ago
- ChainerRL is a deep reinforcement learning library built on top of Chainer.☆1,195Updated 4 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,008Updated 2 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,650Updated 3 years ago
- Code for the paper "Emergent Complexity via Multi-agent Competition"☆824Updated 2 years ago
- Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.☆561Updated 4 years ago
- Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.☆657Updated 5 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,184Updated 2 years ago
- Lua/Torch implementation of DQN (Nature, 2015)☆612Updated 8 years ago
- Reinforcement Learning in PyTorch☆2,266Updated 4 years ago
- SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's arch…☆833Updated 2 years ago