PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
☆256May 3, 2020Updated 6 years ago
Alternatives and similar repositories for pytorch_sac_ae
Users that are interested in pytorch_sac_ae are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- DrQ: Data regularized Q☆422Jan 13, 2023Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆600Dec 5, 2021Updated 4 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆229May 19, 2024Updated 2 years ago
- CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning☆605Oct 28, 2020Updated 5 years ago
- DrQ-v2: Improved Data-Augmented Reinforcement Learning☆438May 31, 2022Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.☆328Jan 11, 2024Updated 2 years ago
- RAD: Reinforcement Learning with Augmented Data☆416Mar 29, 2021Updated 5 years ago
- PyTorch implementation of SAC-Discrete.☆317Jul 25, 2024Updated 2 years ago
- ☆52Jul 7, 2020Updated 6 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆297Feb 24, 2021Updated 5 years ago
- DMControl Generalization Benchmark☆189Jan 3, 2024Updated 2 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆155Oct 26, 2020Updated 5 years ago
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆379Oct 15, 2021Updated 4 years ago
- Dream to Control: Learning Behaviors by Latent Imagination☆623Sep 10, 2021Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆22Sep 22, 2022Updated 3 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆104Mar 24, 2023Updated 3 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆169Jan 19, 2025Updated last year
- MuJoCo models for Unitree Robots☆12Nov 24, 2021Updated 4 years ago
- Collection of reinforcement learning algorithms☆2,931Jun 17, 2024Updated 2 years ago
- Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.☆114Nov 24, 2020Updated 5 years ago
- Multitask Environments for RL☆283Aug 23, 2021Updated 5 years ago
- Repository for the paper "Planning to Explore via Self-Supervised World Models"☆242Feb 10, 2023Updated 3 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆37Dec 7, 2020Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆481Jul 6, 2023Updated 3 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆167Dec 21, 2021Updated 4 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆157Aug 31, 2021Updated 5 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆152Mar 19, 2021Updated 5 years ago
- PyTorch implementation of soft actor critic☆946Jul 17, 2025Updated last year
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,439Nov 29, 2023Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆108Jun 9, 2020Updated 6 years ago
- Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies☆19Mar 10, 2021Updated 5 years ago
- Code for "Unsupervised State Representation Learning in Atari"☆259Nov 2, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆197Dec 8, 2022Updated 3 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆560Nov 22, 2022Updated 3 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆666Apr 6, 2021Updated 5 years ago
- ☆99Mar 24, 2023Updated 3 years ago
- Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning☆1,878Aug 10, 2026Updated 3 weeks ago
- [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.☆878Aug 12, 2024Updated 2 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆218Dec 27, 2022Updated 3 years ago