☆27Oct 10, 2020Updated 5 years ago
Alternatives and similar repositories for meta-RL
Users that are interested in meta-RL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆20Feb 8, 2023Updated 3 years ago
- A TF2.0 implementation of RL baselines.☆10Sep 24, 2021Updated 4 years ago
- ☆11Oct 19, 2020Updated 5 years ago
- 元强化学习MAML实现, 修改了部分老旧而不能运行的代码, 并可以通过render直接查看训练的结果☆11Dec 2, 2025Updated 3 months ago
- Implementation of Meta-RL A3C algorithm☆407Feb 22, 2017Updated 9 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Code snippets of Meta Reinforcement Learning algorithms☆39Sep 7, 2023Updated 2 years ago
- Bayes-Adaptive RL for LLM Reasoning☆46May 28, 2025Updated 10 months ago
- PyTorch implementation of Sample Efficient Actor-Critic with Experience Replay(ACER)☆16Oct 7, 2020Updated 5 years ago
- MetaLight: a value-based meta-reinforcement learning framework for traffic signal control☆44Jan 13, 2020Updated 6 years ago
- using actor-critic method to dealing with the path-planning UAV problem☆20Jun 14, 2019Updated 6 years ago
- ☆15Jul 1, 2021Updated 4 years ago
- Minimal A2C/A3C example of an LSTM-based meta-learner.☆13Feb 2, 2021Updated 5 years ago
- ☆10Nov 27, 2019Updated 6 years ago
- Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020☆33Jul 22, 2021Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Lists of RL Papers to Review☆10Mar 2, 2023Updated 3 years ago
- Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch☆877Dec 27, 2022Updated 3 years ago
- (TPAMI) Human-guided Reinforcement Learning with Sim-to-real Transfer for Autonomous Navigation☆25Sep 18, 2023Updated 2 years ago
- Study of paper "Meta reinforcement learning for sim-to-real domain adaptation"☆19Jun 3, 2022Updated 3 years ago
- ODTP: A tool designed to manage, run, and design digital twins.☆24Feb 24, 2025Updated last year
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆504Dec 1, 2022Updated 3 years ago
- A UAVs empowered MEC SYSTEM☆10Sep 22, 2023Updated 2 years ago
- ☆31Mar 13, 2026Updated 2 weeks ago
- Learning bisimulation metrics for control, particularly suited to sparse reward settings☆10Feb 28, 2023Updated 3 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆62May 6, 2019Updated 6 years ago
- Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.a…☆51Mar 9, 2020Updated 6 years ago
- Simple bit flipping with sparse rewards using HER, similarly to the original paper☆39Feb 25, 2019Updated 7 years ago
- Gamepad API Content Kit☆14Jun 1, 2016Updated 9 years ago
- Experimenting with meta-learning approaches to opponent modelling in MARL. Building upon previous public implementations of MADDPG and M3…☆14Apr 26, 2022Updated 3 years ago
- ☆12Aug 28, 2020Updated 5 years ago
- Minimal implementation of the network layers of the paper "Noisy Networks for Exploration" using Pytorch.☆13Mar 15, 2025Updated last year
- Code for a centralised State Estimation and a distributed State Estimation in Power Transmission Networks☆11Jul 11, 2021Updated 4 years ago
- PyTorch implementation of Episodic Meta Reinforcement Learning on variants of the "Two-Step" task. Reproduces the results found in three …☆37Dec 12, 2020Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- ☆24Jan 12, 2021Updated 5 years ago
- Daily Paper Reading☆23Jan 17, 2026Updated 2 months ago
- QGFN: Controllable Greediness with Action Values - Code☆11May 17, 2024Updated last year
- 使用numpy从零开始实现llama3的推理流程，并对其进行封装，对比GPU,CPU上的表现以及Lora微调。llama3 implemented from scratch using numpy and lora fine-tune.。☆12Jul 16, 2024Updated last year
- Distributional Successor Features Enable Zero-Shot Policy Optimization☆13Apr 11, 2025Updated 11 months ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆14Apr 3, 2017Updated 8 years ago
- Data and codes for energy circuit method-based optimal energy flow☆14Sep 17, 2022Updated 3 years ago