Author's PyTorch implementation of TD3 for OpenAI gym tasks
☆2,118Jul 14, 2023Updated 3 years ago
Alternatives and similar repositories for TD3
Users that are interested in TD3 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Soft Actor-Critic☆1,308Nov 29, 2023Updated 2 years ago
- Collection of reinforcement learning algorithms☆2,947Jun 17, 2024Updated 2 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆664Apr 6, 2021Updated 5 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,910May 29, 2022Updated 4 years ago
- PyTorch implementation of soft actor critic☆941Jul 17, 2025Updated last year
- 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.
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,438Nov 29, 2023Updated 2 years ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,654Mar 24, 2023Updated 3 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆413Dec 18, 2021Updated 4 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,453Apr 16, 2024Updated 2 years ago
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,776Aug 1, 2024Updated 2 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,287Feb 9, 2021Updated 5 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆565Nov 22, 2022Updated 3 years ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,940Jul 25, 2024Updated 2 years ago
- An elegant PyTorch deep reinforcement learning library.☆11,048Apr 3, 2026Updated 6 months ago
- 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.
- An educational resource to help anyone learn deep reinforcement learning.☆12,026Aug 5, 2024Updated 2 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆262Oct 1, 2020Updated 6 years ago
- Reinforcement Learning in PyTorch☆2,279Jan 4, 2021Updated 5 years ago
- A collection of reference environments for offline reinforcement learning☆1,713Nov 18, 2024Updated last year
- PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.☆13,957Oct 26, 2026Updated last week
- Massively Parallel Deep Reinforcement Learning. 🔥☆4,375Feb 20, 2026Updated 8 months ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆601Dec 5, 2021Updated 4 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,325Sep 4, 2022Updated 4 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,079Jun 10, 2023Updated 3 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.
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,366Mar 13, 2025Updated last year
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆484Jul 6, 2023Updated 3 years ago
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆10,627Apr 20, 2026Updated 6 months ago
- Code for conservative Q-learning☆494Dec 7, 2021Updated 4 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆105Jun 7, 2019Updated 7 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆172Sep 12, 2023Updated 3 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,673Jan 13, 2022Updated 4 years ago
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,390Jul 9, 2024Updated 2 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆812May 29, 2022Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.☆4,723Updated this week
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆163Jul 17, 2020Updated 6 years ago
- Python Multi-Agent Reinforcement Learning framework☆2,224Dec 8, 2022Updated 3 years ago
- A toolkit for reproducible reinforcement learning research.☆2,130May 4, 2023Updated 3 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆560Jun 26, 2023Updated 3 years ago
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.☆757Oct 26, 2022Updated 4 years ago
- PyTorch implementation of Trust Region Policy Optimization☆450Sep 13, 2018Updated 8 years ago