hardmaru / estoolLinks
Evolution Strategies Tool
☆959Updated 3 years ago
Alternatives and similar repositories for estool
Users that are interested in estool are comparing it to the libraries listed below
Sorting:
- Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"☆1,621Updated 6 years ago
- Code for the paper "Exploration by Random Network Distillation"☆930Updated 5 years ago
- Deep Neuroevolution☆1,663Updated 2 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,123Updated 8 years ago
- PlayGround: AI Research into Multi-Agent Learning.☆779Updated 2 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆1,019Updated 6 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,470Updated 3 years ago
- An implementation of the Augmented Random Search algorithm☆427Updated 4 years ago
- Code for the paper "Large-Scale Study of Curiosity-Driven Learning"☆830Updated 4 years ago
- A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning ag…☆662Updated 6 years ago
- Code for the paper "Meta-Learning Shared Hierarchies"☆618Updated 2 years ago
- Efficient Batched Reinforcement Learning in TensorFlow☆974Updated 7 years ago
- Implementation of TRPO and related algorithms☆646Updated 7 years ago
- World Models☆473Updated 5 years ago
- Code for the paper "Emergent Complexity via Multi-agent Competition"☆827Updated 2 years ago
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,530Updated last year
- This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch☆453Updated 6 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,196Updated 3 years ago
- World Models Experiments☆676Updated 3 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,661Updated 4 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,332Updated this week
- A fast Evolution Strategy implementation in Python☆272Updated 5 years ago
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆579Updated 3 years ago
- Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"☆333Updated 4 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆361Updated 5 years ago
- Evolution Strategies in PyTorch☆354Updated 8 years ago
- Spriteworld: a flexible, configurable python-based reinforcement learning environment☆371Updated 5 years ago
- Implementation of Meta-RL A3C algorithm☆406Updated 8 years ago
- Code for the paper "Generative Adversarial Imitation Learning"☆729Updated 7 years ago
- Learning Latent Dynamics for Planning from Pixels☆1,234Updated 2 years ago