MultiAgentLearning / playground
PlayGround: AI Research into Multi-Agent Learning.
☆769Updated last year
Alternatives and similar repositories for playground:
Users that are interested in playground are comparing it to the libraries listed below
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆999Updated 6 years ago
- Code for the paper "Exploration by Random Network Distillation"☆892Updated 4 years ago
- Code for the paper "Meta-Learning Shared Hierarchies"☆611Updated last year
- Code for the paper "Emergent Complexity via Multi-agent Competition"☆811Updated last year
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,427Updated 2 years ago
- Evolution Strategies Tool☆947Updated 2 years ago
- Code for the paper "Large-Scale Study of Curiosity-Driven Learning"☆810Updated 3 years ago
- Code for the paper "Generative Adversarial Imitation Learning"☆702Updated 6 years ago
- Efficient Batched Reinforcement Learning in TensorFlow☆967Updated 6 years ago
- Code for the paper "Quantifying Transfer in Reinforcement Learning"☆399Updated last year
- Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"☆1,583Updated 5 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,717Updated 2 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,608Updated 3 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,160Updated 2 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,106Updated 7 years ago
- A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning ag…☆658Updated 5 years ago
- Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.☆660Updated 5 years ago
- This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch☆444Updated 5 years ago
- hanabi_learning_environment is a research platform for Hanabi experiments.☆649Updated 2 years ago
- World Models Experiments☆633Updated 2 years ago
- Spriteworld: a flexible, configurable python-based reinforcement learning environment☆370Updated 4 years ago
- ☆303Updated last year
- Implementation of TRPO and related algorithms☆627Updated 6 years ago
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆561Updated 2 years ago
- SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's arch…☆804Updated 2 years ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆675Updated 10 months ago
- Multi Agent Reinforcement Learning using MalmÖ☆250Updated 4 years ago
- Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"☆307Updated last year
- A3C LSTM Atari with Pytorch plus A3G design☆564Updated last year
- Implementation of Meta-RL A3C algorithm☆402Updated 8 years ago