RobvanGastel / rnn-sacLinks
Implementation of the Discrete Soft Actor-Critic algorithm with RNN policy in PyTorch
☆27Updated 2 years ago
Alternatives and similar repositories for rnn-sac
Users that are interested in rnn-sac are comparing it to the libraries listed below
Sorting:
- qmix☆23Updated 5 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆158Updated last year
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆94Updated 4 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆91Updated 9 months ago
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- 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
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆53Updated 3 years ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆36Updated 4 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
- ☆17Updated 2 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆52Updated 6 months ago
- Implementation for mSAC methods in PyTorch☆42Updated 3 years ago
- my code for paper Parameterized-DQN☆23Updated 4 years ago
- PyTorch implementation of Constrained Policy Optimization☆55Updated 3 years ago
- Multi Agent adaptation of Soft Actor Critic Reinforcement Learning Algorithm☆20Updated 6 years ago
- PyTorch implementation of MATD3☆13Updated 5 years 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
- A clean and robust Pytorch implementation of SAC on discrete action space☆42Updated 10 months ago
- Simple implementation for Constrained Policy Optimization in Pytorch☆16Updated 3 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆73Updated 3 years ago
- The code for maddpg using pytorch☆170Updated 4 years ago
- a clean and robust Pytorch implementation of SAC on continuous action space☆84Updated 5 months ago
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆52Updated 3 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆49Updated 5 years ago
- ☆89Updated 3 years ago
- ☆44Updated 3 years ago
- ☆102Updated 3 years ago
- ☆40Updated 3 years ago