deligentfool / dqn_zoo
The implement of all kinds of dqn reinforcement learning with Pytorch
☆93Updated 4 years ago
Alternatives and similar repositories for dqn_zoo:
Users that are interested in dqn_zoo are comparing it to the libraries listed below
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆207Updated 5 years ago
- Code for Weighted QMIX☆136Updated 4 years ago
- ☆201Updated last year
- The implement of the policy gradient RL algorithm with pytorch☆38Updated 4 years ago
- ☆75Updated 5 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆116Updated 2 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆102Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆304Updated 9 months ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆59Updated 4 years ago
- ☆93Updated 4 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆177Updated 9 months ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆126Updated 9 months ago
- A collection of offline reinforcement learning algorithms.☆179Updated 5 months ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆135Updated 11 months ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆210Updated 2 years ago
- There will be updates later☆84Updated 5 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆51Updated 3 years ago
- Official Implementation of 'UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers' ICLR 2021(spotli…☆132Updated 4 years ago
- pytorch实现的一些MARL算法☆65Updated 4 years ago
- The pytorch implementation of DGN on grid world and Starcraft☆141Updated 3 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆217Updated 4 years ago
- ☆40Updated 3 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆169Updated last year
- This is the official implementation of Multi-Agent PPO.☆105Updated 2 years ago
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆155Updated last year
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆85Updated 2 years ago
- Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …☆74Updated 4 months ago
- ☆96Updated 3 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆118Updated 6 months ago