google-deepmind / open_spielLinks
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
☆4,692Updated 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☆3,774Updated 3 weeks ago
- Reinforcement Learning in PyTorch☆2,268Updated 4 years ago
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆3,067Updated 2 months ago
- MuZero☆2,680Updated 11 months ago
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,524Updated last year
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,304Updated 2 years ago
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,349Updated 2 years ago
- Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.☆4,197Updated 3 weeks ago
- TensorFlow Reinforcement Learning☆3,134Updated 2 years ago
- TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.☆2,946Updated 2 months ago
- A toolkit for reproducible reinforcement learning research.☆2,015Updated 2 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,304Updated last week
- Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"☆1,730Updated last year
- A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more☆4,217Updated 7 months ago
- A Platform for Many-Agent Reinforcement Learning☆1,748Updated 2 years ago
- A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)☆3,654Updated last month
- SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's arch…☆828Updated 2 years ago
- The Arcade Learning Environment (ALE) -- a platform for AI research.☆2,323Updated last week
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,121Updated 3 years ago
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,619Updated last year
- Code for the paper "Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents"☆1,627Updated 2 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,641Updated 3 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,180Updated 2 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,296Updated 6 months ago
- For deep RL and the future of AI.☆1,475Updated last year
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,994Updated 2 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,330Updated last year
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,978Updated 2 months ago
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,311Updated last year
- Deep Neuroevolution☆1,655Updated last year