PyTorch implementation of SAC-Discrete.
☆316Jul 25, 2024Updated 2 years ago
Alternatives and similar repositories for sac-discrete.pytorch
Users that are interested in sac-discrete.pytorch 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 the discrete Soft-Actor-Critic algorithm.☆57Oct 1, 2021Updated 4 years ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆37Sep 19, 2021Updated 4 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆99Jun 22, 2020Updated 6 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆599Dec 5, 2021Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆257May 3, 2020Updated 6 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.
- Modified versions of the Soft Actor-Critic algorithm for Atari games from https://github.com/ac-93/soft-actor-critic.☆20May 18, 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
- ☆40Nov 17, 2021Updated 4 years ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,938Jul 25, 2024Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆108Jun 9, 2020Updated 6 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,436Nov 29, 2023Updated 2 years ago
- PyTorch implementation of soft actor critic☆943Jul 17, 2025Updated last year
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆94Jul 25, 2024Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,360Mar 13, 2025Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆560Nov 22, 2022Updated 3 years ago
- Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.☆327Jan 11, 2024Updated 2 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆169Jan 19, 2025Updated last year
- Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies☆19Mar 10, 2021Updated 5 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆808May 29, 2022Updated 4 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆334Nov 24, 2021Updated 4 years ago
- PyTorch implementation of Distribution Correction(DisCor) based on Soft Actor-Critic.☆39Jun 22, 2022Updated 4 years ago
- Soft Actor-Critic☆1,296Nov 29, 2023Updated 2 years ago
- Collection of reinforcement learning algorithms☆2,930Jun 17, 2024Updated 2 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.
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆749May 23, 2022Updated 4 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆274May 20, 2020Updated 6 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆240Nov 22, 2020Updated 5 years ago
- ☆26Jun 14, 2022Updated 4 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆666Apr 6, 2021Updated 5 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆235Jul 10, 2022Updated 4 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆191May 17, 2022Updated 4 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆777Dec 22, 2023Updated 2 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆354Mar 25, 2023Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,651Mar 24, 2023Updated 3 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆197Dec 8, 2022Updated 3 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆311Feb 16, 2021Updated 5 years ago
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆39Feb 19, 2022Updated 4 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆486Nov 19, 2021Updated 4 years ago
- A simple framework for distributed reinforcement learning in PyTorch.☆16Apr 24, 2020Updated 6 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆617Nov 11, 2017Updated 8 years ago