kzl / decision-transformer
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
☆2,535Updated 11 months ago
Alternatives and similar repositories for decision-transformer:
Users that are interested in decision-transformer are comparing it to the libraries listed below
- A collection of reference environments for offline reinforcement learning☆1,463Updated 4 months ago
- A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.☆2,667Updated this week
- PFRL: a PyTorch-based deep reinforcement learning library☆1,229Updated 8 months ago
- Library for Model Based RL☆994Updated 9 months ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,211Updated last month
- Reinforcement Learning in PyTorch☆2,250Updated 4 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,840Updated last year
- Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"☆491Updated 2 years ago
- An offline deep reinforcement learning library☆1,429Updated this week
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,356Updated last week
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,287Updated last year
- A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-par…☆933Updated 6 months ago
- Collection of reinforcement learning algorithms☆2,643Updated 9 months ago
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆1,983Updated 9 months ago
- Clean PyTorch implementations of imitation and reward learning algorithms☆1,461Updated 3 months ago
- ☆1,159Updated 10 months ago
- The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization☆742Updated last year
- Python Multi-Agent Reinforcement Learning framework☆1,985Updated 2 years ago
- A toolkit for reproducible reinforcement learning research.☆1,960Updated last year
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,188Updated 4 years ago
- Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning☆1,415Updated last week
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆575Updated 2 weeks ago
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,517Updated last year
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆2,862Updated this week
- [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.☆824Updated 8 months ago
- PyTorch implementation of soft actor critic☆871Updated 3 years ago
- High throughput synchronous and asynchronous reinforcement learning☆887Updated 3 months ago
- C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.☆1,144Updated 8 months ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,213Updated 2 months ago
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,509Updated 8 months ago