finninmunich / Maml-Reptile-RL
Study of paper "Meta reinforcement learning for sim-to-real domain adaptation"
☆16Updated 2 years ago
Alternatives and similar repositories for Maml-Reptile-RL:
Users that are interested in Maml-Reptile-RL are comparing it to the libraries listed below
- a clean and robust Pytorch implementation of SAC on continuous action space☆66Updated 7 months ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆47Updated 4 years ago
- [NeurIPS 2022] Code for Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments☆12Updated 2 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆114Updated 8 months ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆93Updated 3 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆68Updated last month
- ☆93Updated 3 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆79Updated 4 years ago
- A clean and robust Pytorch implementation of SAC on discrete action space☆34Updated 2 months ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆156Updated 9 months ago
- ☆39Updated 3 years ago
- PyTorch implementation of Constrained Policy Optimization☆50Updated 3 years ago
- Constrained Policy Optimization implementation on Safety Gym☆23Updated 3 years ago
- Implement reinforcement learning algorithms in Pytorch☆33Updated 3 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆43Updated 5 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆49Updated 3 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆97Updated 3 years ago
- This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.☆94Updated 2 years ago
- pytorch实现的一些MARL算法☆65Updated 3 years ago
- Code for Weighted QMIX☆126Updated 4 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆41Updated 2 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆139Updated last year
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆52Updated 3 years ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆128Updated 7 months ago
- This is the official implementation of Multi-Agent PPO.☆101Updated 2 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆39Updated 2 years ago
- QMIX implemented in TensorFlow 2☆16Updated 3 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆198Updated 5 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆112Updated 2 years ago
- ☆35Updated 2 years ago