Quantum-Cheese / DeepReinforcementLearning_Pytorch
Pytorch realization of multiple Deep Reinforcement Learning alogrithms(DQN,DDPG,TD3,PPO,A3C...) with openai gym
☆53Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for DeepReinforcementLearning_Pytorch
- Implement reinforcement learning algorithms in Pytorch☆31Updated 3 years ago
- RL algorithms☆138Updated 3 years ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆50Updated 3 years ago
- Solve BipedalWalkerHardcore-v2 with TD3☆82Updated last year
- 多智能体强化学习(MARL)算法复现,包括QMIX,VDN,QTRAN、MAVEN等等☆179Updated 2 years ago
- This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.☆92Updated 2 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆57Updated 2 years ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆122Updated 5 months ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆110Updated 7 months ago
- a clean and robust Pytorch implementation of SAC on continuous action space☆60Updated 5 months ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆92Updated 3 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆75Updated 3 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆133Updated last year
- The code for maddpg using pytorch☆162Updated 4 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆37Updated 2 years ago
- Implement some algorithms of RL☆44Updated last year
- Multi-agent Reinforcement Learning Algorithms(COMA, VDN, QMIX)☆13Updated 4 years ago
- A clean and robust Pytorch implementation of SAC on discrete action space☆33Updated last month
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆40Updated 2 years ago
- A collection of multi agent environments based on OpenAI gym.☆20Updated last year
- Deep recurrent Q learning on CartPole-v1 environment☆75Updated 10 months ago
- 多智能体强化学习☆83Updated 5 years ago
- ☆44Updated 6 months ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆62Updated last year
- This is the official implementation of ERL-Re2.☆59Updated 5 months ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆111Updated last year
- ☆158Updated last year
- ☆90Updated 3 years ago
- The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"☆54Updated 10 months ago
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆129Updated 10 months ago