google / brain-tokyo-workshopLinks
π§ πΌ
β1,280Updated last year
Alternatives and similar repositories for brain-tokyo-workshop
Users that are interested in brain-tokyo-workshop are comparing it to the libraries listed below
Sorting:
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agentβ1,530Updated last year
- Code repository for the Animal AI Olympics competitionβ577Updated 3 years ago
- Learning Latent Dynamics for Planning from Pixelsβ1,234Updated 2 years ago
- repo for interactive articleβ459Updated 4 years ago
- Spriteworld: a flexible, configurable python-based reinforcement learning environmentβ372Updated 5 years ago
- Deep Neuroevolutionβ1,661Updated 2 years ago
- Evolution Strategies Toolβ957Updated 3 years ago
- Reinforcement Learning in PyTorchβ2,276Updated 5 years ago
- Dream to Control: Learning Behaviors by Latent Imaginationβ701Updated 5 years ago
- Deep Reinforcement Learning Framework + Algorithmsβ416Updated 2 years ago
- SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's archβ¦β838Updated 3 years ago
- Code for the paper "Exploration by Random Network Distillation"β930Updated 5 years ago
- A PyTorch Platform for Distributed RLβ752Updated 4 years ago
- Code for the paper "Large-Scale Study of Curiosity-Driven Learning"β830Updated 4 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".β1,331Updated last week
- β1,402Updated last month
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.β1,019Updated 6 years ago
- β564Updated 3 years ago
- TensorFlow Reinforcement Learningβ3,135Updated 3 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learningβ1,468Updated 3 years ago
- A simple OpenAI Gym environment for single and multi-agent reinforcement learningβ773Updated 2 years ago
- World Modelsβ473Updated 5 years ago
- Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning researchβ762Updated last week
- World Models Experimentsβ676Updated 3 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.β1,196Updated 3 years ago
- Code for Go-Explore: a New Approach for Hard-Exploration Problemsβ579Updated 3 years ago
- A toolkit for reproducible reinforcement learning research.β2,071Updated 2 years ago
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (β¦β492Updated last year
- Rainbow: Combining Improvements in Deep Reinforcement Learningβ1,662Updated 4 years ago
- A PyTorch library for building deep reinforcement learning agents.β653Updated last year