Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
☆231Jul 10, 2022Updated 3 years ago
Alternatives and similar repositories for torchrl
Users that are interested in torchrl are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of deep reinforcement learning algorithms☆490Nov 19, 2021Updated 4 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,272Feb 9, 2021Updated 5 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,333Mar 13, 2025Updated last year
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆693Dec 18, 2025Updated 3 months ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆534Nov 22, 2022Updated 3 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆241Nov 22, 2020Updated 5 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆351Mar 25, 2023Updated 2 years ago
- Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.☆322Jan 11, 2024Updated 2 years ago
- PyTorch implementation of soft actor critic☆940Jul 17, 2025Updated 8 months ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆254May 3, 2020Updated 5 years ago
- PyTorch implementation of SAC-Discrete.☆314Jul 25, 2024Updated last year
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆295Feb 24, 2021Updated 5 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆591Dec 5, 2021Updated 4 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆741May 23, 2022Updated 3 years ago
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆419Aug 8, 2021Updated 4 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,416Nov 29, 2023Updated 2 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆207Oct 5, 2022Updated 3 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆336Nov 24, 2021Updated 4 years ago
- ☆92Dec 9, 2020Updated 5 years ago
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆38Feb 19, 2022Updated 4 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆313Feb 16, 2021Updated 5 years ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,590Mar 24, 2023Updated 2 years ago
- Code for "Multi-task Reinforcement Learning with Soft Modularization"☆122Dec 28, 2020Updated 5 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆198Dec 8, 2022Updated 3 years ago
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆60Jul 31, 2023Updated 2 years ago
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆314Sep 28, 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
- Reinforcement Learning Algorithms Based on PyTorch☆452Oct 21, 2021Updated 4 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆168Jan 19, 2025Updated last year
- A framework for easy prototyping of distributed reinforcement learning algorithms☆97Dec 8, 2020Updated 5 years ago
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆998May 30, 2025Updated 9 months ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆32Sep 7, 2021Updated 4 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆505Dec 1, 2022Updated 3 years ago
- The code for maddpg using pytorch☆168Oct 5, 2020Updated 5 years ago
- Pytorch version of Dreamer, which follows the original TF v2 codes.☆140Feb 7, 2022Updated 4 years ago
- multi-agent deep reinforcement learning for networked system control.☆439Sep 29, 2020Updated 5 years ago
- Collection of reinforcement learning algorithms☆2,877Jun 17, 2024Updated last year
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆2,040Jul 14, 2023Updated 2 years ago
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…☆143Nov 21, 2022Updated 3 years ago