finninmunich / Maml-Reptile-RLLinks
Study of paper "Meta reinforcement learning for sim-to-real domain adaptation"
☆19Updated 3 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
Sorting:
- A clean and robust Pytorch implementation of PPO on continuous action space.☆163Updated last year
- a clean and robust Pytorch implementation of SAC on continuous action space☆84Updated 5 months ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆221Updated 6 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆52Updated 6 months ago
- ☆40Updated 3 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆93Updated 4 years ago
- A clean and robust Pytorch implementation of SAC on discrete action space☆42Updated 10 months ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆87Updated 4 years ago
- Code snippets of Meta Reinforcement Learning algorithms☆38Updated 2 years ago
- This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.☆104Updated 3 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆189Updated last year
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆143Updated last year
- The code for maddpg using pytorch☆170Updated 4 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- ☆102Updated 3 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆158Updated last year
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆53Updated 3 years ago
- Implement reinforcement learning algorithms in Pytorch☆34Updated 4 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆90Updated 9 months ago
- [NeurIPS 2022] Code for Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments☆12Updated 2 years ago
- A clean and robust Pytorch implementation of PPO on Discrete action space☆69Updated last year
- PyTorch implementation of Constrained Policy Optimization☆55Updated 3 years ago
- ☆216Updated 2 years ago
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆356Updated 4 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆500Updated 2 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆650Updated 5 years ago
- implementation of MADDPG using PettingZoo and PyTorch☆155Updated last year
- ☆60Updated 4 years ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆62Updated 4 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆54Updated 3 years ago