google / brain-tokyo-workshopLinks
π§ πΌ
β1,278Updated 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) agentβ1,529Updated last year
- repo for interactive articleβ459Updated 3 years ago
- Code repository for the Animal AI Olympics competitionβ576Updated 3 years ago
- Learning Latent Dynamics for Planning from Pixelsβ1,223Updated 2 years ago
- Evolution Strategies Toolβ957Updated 3 years ago
- Deep Neuroevolutionβ1,660Updated last year
- Reinforcement Learning in PyTorchβ2,269Updated 4 years ago
- Dream to Control: Learning Behaviors by Latent Imaginationβ692Updated 5 years ago
- Spriteworld: a flexible, configurable python-based reinforcement learning environmentβ371Updated 5 years ago
- β561Updated 2 years ago
- A PyTorch Platform for Distributed RLβ752Updated 4 years ago
- β1,395Updated last week
- SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's archβ¦β837Updated 3 years ago
- Code for the paper "Exploration by Random Network Distillation"β924Updated 5 years ago
- Deep Reinforcement Learning Framework + Algorithmsβ415Updated 2 years ago
- Code for Go-Explore: a New Approach for Hard-Exploration Problemsβ579Updated 3 years ago
- Code for the paper "Large-Scale Study of Curiosity-Driven Learning"β831Updated 4 years ago
- TensorFlow Reinforcement Learningβ3,135Updated 3 years ago
- A simple OpenAI Gym environment for single and multi-agent reinforcement learningβ771Updated 2 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.β1,014Updated 6 years ago
- Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning researchβ757Updated last week
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (β¦β491Updated last year
- hanabi_learning_environment is a research platform for Hanabi experiments.β659Updated 2 years ago
- World Models Experimentsβ672Updated 3 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.β1,191Updated 3 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".β1,323Updated this week
- PlayGround: AI Research into Multi-Agent Learning.β776Updated 2 years ago
- A library of reinforcement learning components and agentsβ3,872Updated 2 weeks ago
- Mastering Atari with Discrete World Modelsβ988Updated 2 years ago
- Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.β916Updated 2 years ago