PyTorch implementation of Soft Actor-Critic (SAC)
☆588Dec 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
Sorting:
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆254May 3, 2020Updated 5 years ago
- PyTorch implementation of soft actor critic☆938Jul 17, 2025Updated 7 months ago
- PyTorch implementation of SAC-Discrete.☆314Jul 25, 2024Updated last year
- OpenAI Gym wrapper for the DeepMind Control Suite☆228May 19, 2024Updated last year
- Soft Actor-Critic☆1,222Nov 29, 2023Updated 2 years ago
- Collection of reinforcement learning algorithms☆2,868Jun 17, 2024Updated last year
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,409Nov 29, 2023Updated 2 years ago
- DrQ: Data regularized Q☆419Jan 13, 2023Updated 3 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆137Aug 29, 2025Updated 6 months ago
- RAD: Reinforcement Learning with Augmented Data☆416Mar 29, 2021Updated 4 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆659Apr 6, 2021Updated 4 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆295Feb 24, 2021Updated 5 years ago
- DrQ-v2: Improved Data-Augmented Reinforcement Learning☆431May 31, 2022Updated 3 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆2,034Jul 14, 2023Updated 2 years ago
- CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning☆600Oct 28, 2020Updated 5 years ago
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.☆753Oct 26, 2022Updated 3 years ago
- Dream to Control: Learning Behaviors by Latent Imagination☆583Sep 10, 2021Updated 4 years ago
- ☆52Jul 7, 2020Updated 5 years ago
- Code for conservative Q-learning☆474Dec 7, 2021Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,334Mar 13, 2025Updated 11 months ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,876May 29, 2022Updated 3 years ago
- A collection of reference environments for offline reinforcement learning☆1,656Nov 18, 2024Updated last year
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,273Feb 9, 2021Updated 5 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆154Oct 26, 2020Updated 5 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆532Nov 22, 2022Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆105Jun 9, 2020Updated 5 years ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,924Jul 25, 2024Updated last year
- DMControl Generalization Benchmark☆188Jan 3, 2024Updated 2 years ago
- Library for Model Based RL☆1,054Jul 12, 2024Updated last year
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆395Dec 18, 2021Updated 4 years ago
- Proto-RL: Reinforcement Learning with Prototypical Representations☆86Jun 12, 2022Updated 3 years ago
- Source files to replicate experiments in my ICLR 2022 paper.☆71Jul 17, 2025Updated 7 months ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆185Apr 12, 2022Updated 3 years ago
- High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC…☆1,329Aug 3, 2023Updated 2 years ago
- Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.☆2,773Apr 29, 2024Updated last year
- [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.☆867Aug 12, 2024Updated last year
- C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.☆1,274Aug 12, 2024Updated last year
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,585Mar 24, 2023Updated 2 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆472Jul 6, 2023Updated 2 years ago