google-research / planet
Learning Latent Dynamics for Planning from Pixels
☆1,186Updated last year
Alternatives and similar repositories for planet:
Users that are interested in planet are comparing it to the libraries listed below
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,518Updated 10 months ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,424Updated 2 years ago
- Code for the paper "Exploration by Random Network Distillation"☆892Updated 4 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆998Updated 5 years ago
- Code for the paper "Large-Scale Study of Curiosity-Driven Learning"☆810Updated 3 years ago
- Dream to Control: Learning Behaviors by Latent Imagination☆630Updated 4 years ago
- Reinforcement Learning in PyTorch☆2,244Updated 4 years ago
- Spriteworld: a flexible, configurable python-based reinforcement learning environment☆369Updated 4 years ago
- PlayGround: AI Research into Multi-Agent Learning.☆767Updated last year
- World Models Experiments☆633Updated 2 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,158Updated 2 years ago
- Efficient Batched Reinforcement Learning in TensorFlow☆966Updated 6 years ago
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆561Updated 2 years ago
- Open-Source Distributed Reinforcement Learning Framework by Stanford Vision and Learning Lab☆488Updated 4 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,271Updated 3 weeks ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,107Updated 7 years ago
- A PyTorch Platform for Distributed RL☆746Updated 3 years ago
- SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's arch…☆801Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,273Updated last year
- Collection of reinforcement learning algorithms☆2,609Updated 8 months ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,189Updated last month
- Code for the paper "Generative Adversarial Imitation Learning"☆702Updated 6 years ago
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,341Updated 2 years ago
- TensorFlow Reinforcement Learning☆3,137Updated 2 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,715Updated 2 years ago
- A toolkit for reproducible reinforcement learning research.☆1,936Updated last year
- Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch☆597Updated 2 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,606Updated 3 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,941Updated last year
- Dream to Control: Learning Behaviors by Latent Imagination☆526Updated 3 years ago