LeoZhengZLY / stackelberg-actor-critic-algosLinks
☆45Updated 3 years ago
Alternatives and similar repositories for stackelberg-actor-critic-algos
Users that are interested in stackelberg-actor-critic-algos are comparing it to the libraries listed below
Sorting:
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆59Updated 5 years ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆63Updated 4 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆56Updated 3 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆95Updated 11 months ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆50Updated 5 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆73Updated 3 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆204Updated last year
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆56Updated 3 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆161Updated 2 years ago
- ☆67Updated last year
- Nash Q Learning☆32Updated 4 years ago
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆128Updated 4 months ago
- PyTorch implementation of Constrained Policy Optimization☆55Updated 4 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆52Updated 6 years ago
- Hybrid action space reinforcement learning algorithms.☆13Updated 4 years ago
- The official code releasement of publications in MARL field of TJU RL lab.☆82Updated 3 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆91Updated 4 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆222Updated 6 years ago
- PyTorch implementation of MATD3☆13Updated 5 years ago
- Implementation for mSAC methods in PyTorch☆41Updated 4 years ago
- Official repository of the paper TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Proble…☆53Updated last year
- Simple implementation for Constrained Policy Optimization in Pytorch☆17Updated 3 years ago
- A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagr…☆43Updated 2 years ago
- Implementation of PPO Lagrangian in PyTorch☆52Updated 3 years ago
- This is the official implementation of Multi-Agent PPO.☆125Updated 2 years ago
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆37Updated 2 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆103Updated 2 years ago
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆73Updated 6 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆146Updated last year
- Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?☆27Updated last year