google-deepmind / open_spielLinks
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
☆4,640Updated last 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☆3,748Updated last week
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆3,040Updated 2 months ago
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,524Updated last year
- Reinforcement Learning in PyTorch☆2,265Updated 4 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,297Updated 2 years ago
- MuZero☆2,674Updated 10 months ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,285Updated last month
- Code for the paper "Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents"☆1,623Updated 2 years ago
- A toolkit for reproducible reinforcement learning research.☆2,003Updated 2 years ago
- TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.☆2,938Updated last month
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆3,036Updated 2 years ago
- Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.☆4,173Updated 2 weeks ago
- A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more☆4,200Updated 6 months ago
- Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"☆1,727Updated 11 months ago
- A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)☆3,647Updated last month
- A Platform for Many-Agent Reinforcement Learning☆1,747Updated 2 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,183Updated 2 years ago
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,350Updated 2 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,291Updated 5 months ago
- An algorithm that generalizes the paradigm of self-play reinforcement learning and search to imperfect-information games.☆682Updated last year
- TensorFlow Reinforcement Learning☆3,134Updated 2 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,322Updated last year
- Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments☆1,090Updated last year
- Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.☆3,203Updated last year
- MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.☆3,040Updated last year
- Check out the new game server:☆3,471Updated last month
- Retro Games in Gym☆3,513Updated last year
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,970Updated last month
- SMAC: The StarCraft Multi-Agent Challenge☆1,230Updated last year
- SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's arch…☆827Updated 2 years ago