Learning Latent Dynamics for Planning from Pixels
☆1,238Mar 24, 2023Updated 2 years ago
Alternatives and similar repositories for planet
Users that are interested in planet are comparing it to the libraries listed below
Sorting:
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆375Oct 15, 2021Updated 4 years ago
- Dream to Control: Learning Behaviors by Latent Imagination☆585Sep 10, 2021Updated 4 years ago
- Dream to Control: Learning Behaviors by Latent Imagination☆710Jul 14, 2020Updated 5 years ago
- World Models Experiments☆685Sep 15, 2022Updated 3 years ago
- Reinforcement Learning in PyTorch☆2,274Jan 4, 2021Updated 5 years ago
- Collection of reinforcement learning algorithms☆2,877Jun 17, 2024Updated last year
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,531Apr 13, 2024Updated last year
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆472Jul 6, 2023Updated 2 years ago
- Repository for the paper "Planning to Explore via Self-Supervised World Models"☆234Feb 10, 2023Updated 3 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,416Nov 29, 2023Updated 2 years ago
- ☆399Jul 18, 2019Updated 6 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆154Oct 26, 2020Updated 5 years ago
- Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch☆664Jul 19, 2022Updated 3 years ago
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆581Dec 8, 2022Updated 3 years ago
- Mastering Atari with Discrete World Models☆1,014Jan 21, 2023Updated 3 years ago
- TensorFlow Reinforcement Learning☆3,136Dec 8, 2022Updated 3 years ago
- Code for the paper "Large-Scale Study of Curiosity-Driven Learning"☆831Aug 12, 2021Updated 4 years ago
- Code for the paper "Exploration by Random Network Distillation"☆933Oct 1, 2020Updated 5 years ago
- Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.☆4,498Updated this week
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆505Dec 1, 2022Updated 3 years ago
- Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.☆10,854Nov 4, 2024Updated last year
- Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control☆142Nov 22, 2022Updated 3 years ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆205Oct 2, 2020Updated 5 years ago
- CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning☆599Oct 28, 2020Updated 5 years ago
- lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.☆378Nov 19, 2022Updated 3 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆537Nov 22, 2022Updated 3 years ago
- Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.☆322Jan 11, 2024Updated 2 years ago
- [RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering☆375Nov 22, 2022Updated 3 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,419Mar 2, 2026Updated 2 weeks ago
- A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)☆3,686Mar 15, 2026Updated last week
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,473Dec 7, 2022Updated 3 years ago
- DrQ: Data regularized Q☆419Jan 13, 2023Updated 3 years ago
- S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics☆656Apr 5, 2021Updated 4 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,324Sep 4, 2022Updated 3 years ago
- Unofficial re-implementation of "Learning Latent Dynamics for Planning from Pixels" (https://arxiv.org/abs/1811.04551 ) with PyTorch☆47Jun 2, 2020Updated 5 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆218Dec 27, 2022Updated 3 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,882May 29, 2022Updated 3 years ago
- ☆1,411Mar 2, 2026Updated 2 weeks ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,050Jun 10, 2023Updated 2 years ago