PyTorch implementation of Soft Actor-Critic(SAC).
☆105Jun 9, 2020Updated 5 years ago
Alternatives and similar repositories for soft-actor-critic.pytorch
Users that are interested in soft-actor-critic.pytorch are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of soft actor critic☆938Jul 17, 2025Updated 7 months ago
- PyTorch implementation of SAC-Discrete.☆314Jul 25, 2024Updated last year
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆254May 3, 2020Updated 5 years ago
- A simple and easy to use implementation of the soft actor-critic algorithm.☆15Sep 2, 2022Updated 3 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆122Dec 18, 2020Updated 5 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆588Dec 5, 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
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆99Jun 22, 2020Updated 5 years ago
- Random Network Distillation pytorch☆260Mar 4, 2019Updated 7 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆241Nov 22, 2020Updated 5 years ago
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆38Feb 19, 2022Updated 4 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Jan 12, 2019Updated 7 years ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆675Jul 16, 2022Updated 3 years ago
- A reinforcement learning agent that learns to solve mazes using Group Relative Policy Optimization (GRPO).☆12Feb 9, 2025Updated last year
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆94Jul 25, 2024Updated last year
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆71May 30, 2025Updated 9 months ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆788May 29, 2022Updated 3 years ago
- My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.☆37Mar 24, 2023Updated 2 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆735Apr 12, 2023Updated 2 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆358Feb 3, 2020Updated 6 years ago
- ☆14Nov 4, 2019Updated 6 years ago
- Implementation of MPC-PEARL☆13Jun 28, 2024Updated last year
- very easy implementation of dueling DQN in pytorch☆74Dec 6, 2022Updated 3 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
- Soft Actor-Critic☆1,222Nov 29, 2023Updated 2 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆370Mar 16, 2023Updated 2 years ago
- ☆39Feb 4, 2026Updated last month
- 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
- PyTorch implementation of deep reinforcement learning algorithms☆491Nov 19, 2021Updated 4 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆206Oct 5, 2022Updated 3 years ago
- Code for Policy Consolidation for Continual Reinforcement Learning☆10May 12, 2019Updated 6 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆215Mar 15, 2023Updated 2 years ago
- A toolkit for auto-generation of OpenAI Gym environments from RDDL description files.☆89Updated this week
- ☆11Sep 15, 2023Updated 2 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆741May 23, 2022Updated 3 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆690Jun 5, 2018Updated 7 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆347Mar 25, 2023Updated 2 years ago
- Robust policy search algorithms which train on model ensembles☆30Oct 26, 2016Updated 9 years ago
- ☆24Jan 30, 2025Updated last year