google-research / seed_rlLinks
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
☆830Updated 2 years ago
Alternatives and similar repositories for seed_rl
Users that are interested in seed_rl are comparing it to the libraries listed below
Sorting:
- A PyTorch Platform for Distributed RL☆750Updated 3 years ago
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆575Updated 2 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆1,009Updated 6 years ago
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆475Updated last year
- Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research☆745Updated last week
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,526Updated last year
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,182Updated 2 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆554Updated 2 years ago
- Code for the paper "Exploration by Random Network Distillation"☆910Updated 4 years ago
- Dream to Control: Learning Behaviors by Latent Imagination☆656Updated 5 years ago
- A Python interface for reinforcement learning environments☆375Updated 2 years ago
- Reinforcement Learning in PyTorch☆2,267Updated 4 years ago
- A PyTorch library for building deep reinforcement learning agents.☆651Updated last year
- Spriteworld: a flexible, configurable python-based reinforcement learning environment☆372Updated 5 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,298Updated last week
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,334Updated last year
- Library for Model Based RL☆1,016Updated last year
- High throughput synchronous and asynchronous reinforcement learning☆934Updated 3 months ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,643Updated 3 years ago
- hanabi_learning_environment is a research platform for Hanabi experiments.☆653Updated 2 years ago
- Learning Latent Dynamics for Planning from Pixels☆1,207Updated 2 years ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆700Updated last year
- PlayGround: AI Research into Multi-Agent Learning.☆774Updated last year
- A toolkit for reproducible reinforcement learning research.☆2,022Updated 2 years ago
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆547Updated 10 months ago
- RLgraph: Modular computation graphs for deep reinforcement learning☆322Updated 5 years ago
- Code for the paper "Large-Scale Study of Curiosity-Driven Learning"☆821Updated 4 years ago
- RAD: Reinforcement Learning with Augmented Data☆411Updated 4 years ago
- Pytorch Implementation of MuZero☆353Updated 2 years ago
- Tools for accelerating safe exploration research.☆551Updated 2 years ago