LiuShuai26 / Distributed-RLLinks
Distributed DRL by Ray and TensorFlow Tutorial.
☆10Updated 5 years ago
Alternatives and similar repositories for Distributed-RL
Users that are interested in Distributed-RL are comparing it to the libraries listed below
Sorting:
- ☆18Updated 6 years ago
- A distributed GPU-centric experience replay system for large AI models.☆18Updated 2 years ago
- A Really Scalable RL Framework to 10k+ CPUs☆33Updated last year
- A PyTorch implementation of SEED, originally created by Google Research for TensorFlow 2.☆14Updated 4 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 4 years ago
- Source code for the paper "Divergence-Augmented Policy Optimization"☆37Updated 5 years ago
- A new paper list for multi-agent reinforcement learning (actively maintained)☆24Updated 5 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 4 years ago
- Reinforcement Learning Assembly☆92Updated 3 years ago
- Minimal RLHF implementation built on top of minGPT.☆30Updated last year
- A novel parallel UCT algorithm with linear speedup and negligible performance loss.☆120Updated 4 years ago
- FEN Code☆38Updated 5 years ago
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆18Updated 3 years ago
- ☆30Updated 2 years ago
- ☆32Updated 2 years ago
- Representation Learning in RL☆14Updated 3 years ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- QuaRL is an open-source framework for systematically studying the effect of applying quantization to reinforcement learning algorithms.☆72Updated 2 years ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆28Updated 2 years ago
- ☆106Updated 4 years ago
- ☆45Updated this week
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆49Updated last year
- PyTorch implementation of MADDPG (Lowe et al.) in RLLib☆9Updated 3 years ago
- Code used in our paper "Robust Deep Reinforment Learning through Adversarial Loss"☆33Updated last year
- ☆132Updated last year
- PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning. AAMAS 2024 (full paper with oral presenta…☆10Updated last year
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- Distributed ML Optimizer☆32Updated 4 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆34Updated 5 years ago
- Assignments for CS294-112 Fall2018 in Pytorch☆65Updated 6 years ago