google-deepmind / open_spielLinks
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
☆4,790Updated this week
Alternatives and similar repositories for open_spiel
Users that are interested in open_spiel are comparing it to the libraries listed below
Sorting:
- A library of reinforcement learning components and agents☆3,801Updated 3 weeks ago
- MuZero☆2,700Updated last year
- A toolkit for reproducible reinforcement learning research.☆2,033Updated 2 years ago
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆3,148Updated this week
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,525Updated last year
- Reinforcement Learning in PyTorch☆2,266Updated 4 years ago
- Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"☆1,748Updated last year
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,313Updated 3 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,339Updated last month
- TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.☆2,962Updated 4 months ago
- The Arcade Learning Environment (ALE) -- a platform for AI research.☆2,343Updated 3 weeks ago
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆3,072Updated 2 years ago
- TensorFlow Reinforcement Learning☆3,135Updated 2 years ago
- Code for the paper "Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents"☆1,637Updated 2 years ago
- Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.☆4,271Updated this week
- A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more☆4,268Updated 9 months ago
- An algorithm that generalizes the paradigm of self-play reinforcement learning and search to imperfect-information games.☆682Updated last year
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,985Updated 3 weeks ago
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,348Updated 2 years ago
- MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.☆3,076Updated last year
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,652Updated 3 years ago
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,491Updated last year
- A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)☆3,665Updated this week
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,184Updated 3 years ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,134Updated 3 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,356Updated last year
- Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments☆1,109Updated last year
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,305Updated last week
- Collection of reinforcement learning algorithms☆2,782Updated last year
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,316Updated last year