PatternsandPredictions / DRLearner_betaLinks
Open Source Deep Reinforcement Learning, based on Agent 57 (Badia et al, 2020)
☆37Updated last year
Alternatives and similar repositories for DRLearner_beta
Users that are interested in DRLearner_beta are comparing it to the libraries listed below
Sorting:
- Neuro-evolution for OpenAI Gym environments☆59Updated 4 years ago
- DeepMind Alchemy task environment: a meta-reinforcement learning benchmark☆202Updated 2 years ago
- Adaptable tools to make reinforcement learning and evolutionary computation algorithms.☆56Updated 3 years ago
- A framework for experimenting with never-ending learning☆81Updated last year
- Accelerated Quality-Diversity☆334Updated 2 months ago
- A Python interface for Minecraft built on gRPC☆126Updated 3 years ago
- A grid-world game engine for game AI research☆253Updated last year
- A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each othe…☆168Updated 4 years ago
- ☆101Updated last year
- Modular framework for Reinforcement Learning in python☆181Updated 2 years ago
- A networking protocol for agent-environment communication☆107Updated 11 months ago
- Efficient baselines for autocurricula in JAX.☆206Updated last year
- [NeurIPS 2022] Open source code for reusing prior computational work in RL.☆98Updated 2 years ago
- PAIRED in PyTorch 🔥☆64Updated 2 years ago
- MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research☆507Updated 10 months ago
- a Lightweight library for sequential learning agents, including reinforcement learning☆431Updated 2 years ago
- 🎢 Creating and sharing simulation environments for embodied and synthetic data research☆192Updated 2 years ago
- The first place solution for the NeurIPS 2021 Nethack Challenge -- https://www.aicrowd.com/challenges/neurips-2021-the-nethack-challenge☆60Updated 3 years ago
- A simple implementation of MuZero algorithm for connect4 game☆96Updated 5 years ago
- A public python implementation of the DeepHyperNEAT system for evolving neural networks. Developed by Felix Sosa and Kenneth Stanley. See…☆76Updated 3 years ago
- megastep helps you build 1-million FPS reinforcement learning environments on a single GPU☆146Updated 3 years ago
- Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)☆497Updated 8 months ago
- A 3D video game environment and benchmark designed from scratch for reinforcement learning research☆190Updated 2 years ago
- Benchmarking the Spectrum of Agent Capabilities☆502Updated last year
- A structured implementation of MuZero☆206Updated 3 years ago
- fast + parallel AlphaZero in JAX☆108Updated last year
- Code for "Meta Learning Backpropagation And Improving It" @ NeurIPS 2021 https://arxiv.org/abs/2012.14905☆33Updated 4 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆205Updated 3 years ago
- Train self-modifying neural networks with neuromodulated plasticity☆78Updated 6 years ago
- Accelerated minigrid environments with JAX☆154Updated 2 months ago