GitHub's code repository is all you need
☆378Mar 21, 2023Updated 2 years ago
Alternatives and similar repositories for awesome-reinforcement-learning-lib
Users that are interested in awesome-reinforcement-learning-lib are comparing it to the libraries listed below
Sorting:
- Modular Single-file Reinfocement Learning Algorithms Library☆38May 16, 2023Updated 2 years ago
- Single-file truly minimal implementation of state-of-the-art reinforcement learning algorithms.☆21Feb 13, 2023Updated 3 years ago
- ☆254Nov 19, 2024Updated last year
- Codebase for the paper "How Crucial is Transformer in Decision Transformer?". Containing experiments on different pendulum tasks and code…☆28Mar 24, 2023Updated 2 years ago
- A videogame made with PyGame turned into an Open AI Gym Learning Environment for Reinforcement Learning agents.☆15Jan 3, 2023Updated 3 years ago
- ☆13Aug 9, 2022Updated 3 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆105May 17, 2022Updated 3 years ago
- Standalone library of frequently-used wrappers for dm_env environments.☆18Jul 9, 2024Updated last year
- a modular reinforcement learning library with JAX agents☆27Mar 3, 2025Updated last year
- A modular implementation of PPO, and soon hopefully other algorithms.☆26Jan 16, 2024Updated 2 years ago
- A parallel framework for population-based multi-agent reinforcement learning.☆550Dec 14, 2023Updated 2 years ago
- Toolkit of Causal Model-based Reinforcement Learning.☆33Jun 5, 2023Updated 2 years ago
- Vectorization techniques for fast population-based training.☆57Aug 12, 2022Updated 3 years ago
- [NeurIPS 2022] ASPiRe: Adaptive Skill Priors for Reinforcement Learning☆13Oct 19, 2022Updated 3 years ago
- Code for Powderworld: A Platform for Understanding Generalization via Rich Task Distributions☆73Aug 31, 2024Updated last year
- One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)☆1,276Nov 28, 2024Updated last year
- C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.☆1,274Aug 12, 2024Updated last year
- [deprecated] Engine Agnostic Gym Environment for Robotics☆17Feb 10, 2022Updated 4 years ago
- High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC…☆1,329Aug 3, 2023Updated 2 years ago
- ☆23Aug 19, 2022Updated 3 years ago
- A framework for Reinforcement Learning research.☆250Feb 9, 2026Updated last month
- Agent Learning Framework https://alf.readthedocs.io☆357Updated this week
- Massively Parallel Deep Reinforcement Learning. 🔥☆4,297Feb 20, 2026Updated 2 weeks ago
- ☆46Sep 24, 2024Updated last year
- [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.☆867Aug 12, 2024Updated last year
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆343Aug 22, 2024Updated last year
- SBX: Stable Baselines Jax (SB3 + Jax) RL algorithms☆565Feb 25, 2026Updated last week
- A collection of robotics simulation environments for reinforcement learning☆863Jan 24, 2026Updated last month
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,722Sep 8, 2022Updated 3 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆370Mar 16, 2023Updated 2 years ago
- Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone☆2,559Apr 11, 2022Updated 3 years ago
- On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning☆16Apr 30, 2023Updated 2 years ago
- Temporally Correlated Episodic Reinforcement Learning, ICLR 24☆12Apr 8, 2024Updated last year
- RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random ne…☆459Apr 4, 2025Updated 11 months ago
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆9,213Jul 8, 2025Updated 8 months ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆93Dec 1, 2024Updated last year
- Official codebase for Redeeming Intrinsic Rewards via Constrained Policy Optimization☆83Apr 13, 2023Updated 2 years ago
- [NeurIPS 2022] Open source code for reusing prior computational work in RL.☆100Jul 5, 2023Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆588Dec 5, 2021Updated 4 years ago