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:
- A distributed GPU-centric experience replay system for large AI models.☆18Updated last year
- A PyTorch implementation of SEED, originally created by Google Research for TensorFlow 2.☆14Updated 4 years ago
- Distributed Deep Reinforcement Learning☆29Updated 4 years ago
- ☆18Updated 6 years ago
- A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…☆22Updated 4 years ago
- Code used in our paper "Robust Deep Reinforment Learning through Adversarial Loss"☆33Updated last year
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆28Updated 2 years ago
- Meta-Reinforcement Learning with Policy Residual Representation☆11Updated 5 years ago
- Reinforcement Learning Assembly☆92Updated 3 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 4 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆34Updated 5 years ago
- Representation Learning in RL☆14Updated 3 years ago
- WIP implementation of https://arxiv.org/pdf/1901.08162.pdf☆9Updated 5 years ago
- More efficient exploration for reinforcement learning in two-player, zero-sum game☆21Updated 11 months ago
- Code repository accompanying the Heuristic Guided RL NeurIPS'21 paper☆15Updated 3 years ago
- Source code for the paper "Divergence-Augmented Policy Optimization"☆37Updated 5 years ago
- Some microbenchmarks and design docs before commencement☆12Updated 4 years ago
- Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)☆35Updated 4 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- A2C is a special case of PPO!☆22Updated 3 years ago
- ☆19Updated 4 years ago
- Implementation of Proximal Policy Optimization in Jax+Flax☆20Updated 2 years ago
- A new paper list for multi-agent reinforcement learning (actively maintained)☆24Updated 5 years ago
- Code to reproduce results on toy tasks and companion blog for the paper.☆20Updated 3 years ago
- Minimal RLHF implementation built on top of minGPT.☆30Updated last year
- Ranking Policy Gradient☆23Updated 5 years ago
- Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874☆47Updated 4 years ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- [ICLR 2021] Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments.☆59Updated 2 years ago
- (ICLR 2021) Learning to Represent Action Values as a Hypergraph on the Action Vertices☆23Updated 4 years ago