hardmaru / estoolLinks
Evolution Strategies Tool
☆952Updated 2 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"☆1,607Updated 5 years ago
- Deep Neuroevolution☆1,656Updated last year
- Code for the paper "Exploration by Random Network Distillation"☆914Updated 5 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,460Updated 2 years ago
- Code for the paper "Large-Scale Study of Curiosity-Driven Learning"☆827Updated 4 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆1,013Updated 6 years ago
- Implementation of TRPO and related algorithms☆638Updated 7 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
- A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning ag…☆663Updated 6 years ago
- World Models☆463Updated 5 years ago
- PlayGround: AI Research into Multi-Agent Learning.☆772Updated last year
- Code for the paper "Emergent Complexity via Multi-agent Competition"☆825Updated 2 years ago
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,526Updated last year
- Spriteworld: a flexible, configurable python-based reinforcement learning environment☆373Updated 5 years ago
- An implementation of the Augmented Random Search algorithm☆425Updated 4 years ago
- World Models Experiments☆665Updated 3 years ago
- ☆560Updated 2 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,184Updated 3 years ago
- Code for the paper "Meta-Learning Shared Hierarchies"☆619Updated 2 years ago
- Evolution Strategies in PyTorch☆355Updated 8 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆360Updated 5 years ago
- This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch☆451Updated 6 years ago
- Code for the paper "Generative Adversarial Imitation Learning"☆725Updated 6 years ago
- Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"☆329Updated 3 years ago
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆575Updated 2 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,652Updated 3 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆429Updated last year
- A Platform for Many-Agent Reinforcement Learning☆1,745Updated 3 years ago
- Implementation of Meta-RL A3C algorithm☆404Updated 8 years ago