bigrl-team / gearLinks
A distributed GPU-centric experience replay system for large AI models.
☆19Updated 2 years ago
Alternatives and similar repositories for gear
Users that are interested in gear are comparing it to the libraries listed below
Sorting:
- Distributed DRL by Ray and TensorFlow Tutorial.☆10Updated 6 years ago
- ☆18Updated 6 years ago
- A Really Scalable RL Framework to 10k+ CPUs☆38Updated last year
- Official implementation of NeurIPS22 paper “Multi-agent Dynamic Algorithm Configuration”☆26Updated 2 years ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆29Updated 3 years ago
- QuaRL is an open-source framework for systematically studying the effect of applying quantization to reinforcement learning algorithms.☆78Updated 2 years ago
- A novel parallel UCT algorithm with linear speedup and negligible performance loss.☆123Updated 4 years ago
- The collection of the research works about Automatic Reinforcement Learning in Microsoft Research Asia.☆60Updated 5 months ago
- A PyTorch implementation of SEED, originally created by Google Research for TensorFlow 2.☆15Updated 5 years ago
- Mirror Descent Policy Optimization☆41Updated 5 years ago
- Minimal Decision Transformer Implementation written in Jax (Flax).☆17Updated 3 years ago
- Minimal RLHF implementation built on top of minGPT.☆30Updated last year
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆120Updated last year
- Source code for the paper "Divergence-Augmented Policy Optimization"☆37Updated 6 years ago
- ICLR 2021: "Monte-Carlo Planning and Learning with Language Action Value Estimates"☆33Updated 2 years ago
- FEN Code☆40Updated 6 years ago
- A high-performance, scalable MindSpore reinforcement learning framework.☆51Updated last year
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆49Updated last year
- Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to e…☆85Updated 2 years ago
- Optim4RL is a Jax framework of learning to optimize for reinforcement learning.☆27Updated last year
- Code accompanying the paper "TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play" (AAMAS 2023) 足球游戏智能体☆64Updated 2 years ago
- An unofficial implementation for online decision transformer☆41Updated 3 years ago
- A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environm…☆43Updated 3 years ago
- TaskMet Task-driven Metric Learning for Model Learning☆20Updated last year
- ☆33Updated 2 years ago
- A2C is a special case of PPO!☆22Updated 3 years ago
- RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads☆47Updated 4 years ago
- ☆13Updated last year
- Learning to Incentivize Other Learning Agents☆35Updated 3 years ago
- ☆29Updated 3 years ago