openai / large-scale-curiosityLinks
Code for the paper "Large-Scale Study of Curiosity-Driven Learning"
☆830Updated 4 years ago
Alternatives and similar repositories for large-scale-curiosity
Users that are interested in large-scale-curiosity are comparing it to the libraries listed below
Sorting:
- Code for the paper "Exploration by Random Network Distillation"☆930Updated 5 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.☆1,018Updated 6 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,471Updated 3 years ago
- Learning Latent Dynamics for Planning from Pixels☆1,234Updated 2 years ago
- World Models Experiments☆677Updated 3 years ago
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆579Updated 3 years ago
- Code for the paper "Emergent Complexity via Multi-agent Competition"☆826Updated 2 years ago
- Spriteworld: a flexible, configurable python-based reinforcement learning environment☆371Updated 5 years ago
- Code for the paper "Meta-Learning Shared Hierarchies"☆618Updated 2 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 "Quantifying Transfer in Reinforcement Learning"☆407Updated 2 years ago
- World Models☆474Updated 5 years ago
- Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch☆654Updated 3 years ago
- A PyTorch Platform for Distributed RL☆752Updated 4 years ago
- Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.☆562Updated 5 years ago
- A3C LSTM Atari with Pytorch plus A3G design☆570Updated 2 years ago
- hanabi_learning_environment is a research platform for Hanabi experiments.☆665Updated 2 years ago
- Multi Agent Reinforcement Learning using MalmÖ☆265Updated 5 years ago
- Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"☆333Updated 4 years ago
- Evolution Strategies Tool☆959Updated 3 years ago
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,529Updated last year
- Code repository for the Animal AI Olympics competition☆577Updated 3 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,123Updated 8 years ago
- Code for the paper "Generative Adversarial Imitation Learning"☆729Updated 7 years ago
- This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch☆453Updated 6 years ago
- Dream to Control: Learning Behaviors by Latent Imagination☆705Updated 5 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆361Updated 5 years ago
- Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.☆661Updated 5 years ago
- Efficient Batched Reinforcement Learning in TensorFlow☆975Updated 7 years ago