PyTorch implementation of Soft Actor-Critic (SAC)
☆596Dec 5, 2021Updated 4 years ago
Alternatives and similar repositories for pytorch_sac
Users that are interested in pytorch_sac are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆256May 3, 2020Updated 6 years ago
- PyTorch implementation of soft actor critic☆944Jul 17, 2025Updated 11 months ago
- PyTorch implementation of SAC-Discrete.☆317Jul 25, 2024Updated last year
- OpenAI Gym wrapper for the DeepMind Control Suite☆229May 19, 2024Updated 2 years ago
- Soft Actor-Critic☆1,272Nov 29, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Collection of reinforcement learning algorithms☆2,906Jun 17, 2024Updated 2 years ago
- DrQ: Data regularized Q☆421Jan 13, 2023Updated 3 years ago
- RAD: Reinforcement Learning with Augmented Data☆419Mar 29, 2021Updated 5 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,427Nov 29, 2023Updated 2 years ago
- DrQ-v2: Improved Data-Augmented Reinforcement Learning☆438May 31, 2022Updated 4 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆296Feb 24, 2021Updated 5 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆137Aug 29, 2025Updated 9 months ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆664Apr 6, 2021Updated 5 years ago
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.☆756Oct 26, 2022Updated 3 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.
- CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning☆605Oct 28, 2020Updated 5 years ago
- ☆52Jul 7, 2020Updated 5 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆2,086Jul 14, 2023Updated 2 years ago
- Dream to Control: Learning Behaviors by Latent Imagination☆606Sep 10, 2021Updated 4 years ago
- DMControl Generalization Benchmark☆189Jan 3, 2024Updated 2 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,900May 29, 2022Updated 4 years ago
- Code for conservative Q-learning☆486Dec 7, 2021Updated 4 years ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,936Jul 25, 2024Updated last year
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆154Oct 26, 2020Updated 5 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.
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,345Mar 13, 2025Updated last year
- A collection of reference environments for offline reinforcement learning☆1,688Nov 18, 2024Updated last year
- PyTorch implementation of Soft Actor-Critic(SAC).☆107Jun 9, 2020Updated 6 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆409Dec 18, 2021Updated 4 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,285Feb 9, 2021Updated 5 years ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,630Mar 24, 2023Updated 3 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆553Nov 22, 2022Updated 3 years ago
- Library for Model Based RL☆1,064Jul 12, 2024Updated last year
- Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.☆2,816Apr 29, 2024Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Code for "Temporal Difference Learning for Model Predictive Control"☆513Nov 25, 2023Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆188Apr 12, 2022Updated 4 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆169Jan 19, 2025Updated last year
- High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC…☆1,365Aug 3, 2023Updated 2 years ago
- Source files to replicate experiments in my ICLR 2022 paper.☆74Jul 17, 2025Updated 11 months ago
- Code for RRL (https://sites.google.com/view/abstractions4rl)☆28Jan 21, 2022Updated 4 years ago
- [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.☆871Aug 12, 2024Updated last year