google-deepmind / open_spielLinks
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
☆4,861Updated 2 weeks ago
Alternatives and similar repositories for open_spiel
Users that are interested in open_spiel are comparing it to the libraries listed below
Sorting:
- MuZero☆2,721Updated last year
- A library of reinforcement learning components and agents☆3,859Updated 2 months ago
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,528Updated last year
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆3,211Updated last week
- Reinforcement Learning in PyTorch☆2,270Updated 4 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,313Updated 3 years ago
- A toolkit for reproducible reinforcement learning research.☆2,050Updated 2 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,368Updated last week
- TensorFlow Reinforcement Learning☆3,135Updated 2 years ago
- A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)☆3,671Updated 2 weeks ago
- SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's arch…☆835Updated 3 years ago
- The Arcade Learning Environment (ALE) -- a platform for AI research.☆2,365Updated last week
- An algorithm that generalizes the paradigm of self-play reinforcement learning and search to imperfect-information games.☆683Updated last year
- Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.☆4,346Updated 3 weeks ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,385Updated last year
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,659Updated 3 years ago
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,356Updated 2 years ago
- A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more☆4,317Updated 11 months ago
- A Platform for Many-Agent Reinforcement Learning☆1,751Updated 3 years ago
- TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.☆2,974Updated 5 months ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,190Updated 3 years ago
- Retro Games in Gym☆3,549Updated last year
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,502Updated last year
- Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.☆3,318Updated last year
- Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"☆1,761Updated last year
- Code for the paper "Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents"☆1,646Updated 2 years ago
- Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments☆1,123Updated last year
- For deep RL and the future of AI.☆1,492Updated last year
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,317Updated this week
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,697Updated last year