trunghieu-tran / Transfer-Learning-in-Reinforcement-LearningLinks
Transfer Learning in Reinforcement Learning using Stable-Baseline3 | Transfer Reinforcement Learning for Differing Action Spaces via Q-Network Representations
☆21Updated 3 years ago
Alternatives and similar repositories for Transfer-Learning-in-Reinforcement-Learning
Users that are interested in Transfer-Learning-in-Reinforcement-Learning are comparing it to the libraries listed below
Sorting:
- Deep Reinforcement Learning framework that uses GNN to solve planning tasks for infrastructural assets☆16Updated 3 years ago
- ☆23Updated last month
- Implement reinforcement learning algorithms in Pytorch☆34Updated 4 years ago
- a clean and robust Pytorch implementation of SAC on continuous action space☆84Updated 5 months ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆163Updated last year
- A clean and robust implementation of Prioritized DQN and Prioritized Double DQN☆21Updated last year
- ☆60Updated 4 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆158Updated last year
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆189Updated last year
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆93Updated 4 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆143Updated last year
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆53Updated 3 years ago
- Official repository of the paper TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Proble…☆50Updated last year
- A clean and robust Pytorch implementation of SAC on discrete action space☆42Updated 10 months ago
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- ☆11Updated last year
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆54Updated 3 years ago
- CityLearn Challenge Multi-Agent Reinforcement Learning for Intelligent Energy Management, 2020, PikaPika team☆27Updated 3 years ago
- [NeurIPS 2022] Code for Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments☆12Updated 2 years ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆36Updated 3 years ago
- Deep Q Network for Multi-agent RL☆15Updated 4 years ago
- Re-produce DQN, REINFORCE, REINFORCE with baseline, one-step AC, QAC, QAC with shared network, PPO2, DDPG, TD3, SAC, SAC discrete,A2C,A3C☆20Updated 5 years ago
- The Easiest Pytorch Implementation of Branching-DQN☆12Updated 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
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆72Updated 3 years ago
- Hybrid action space reinforcement learning algorithms.☆13Updated 4 years ago
- PyTorch implementation of Constrained Policy Optimization☆55Updated 3 years ago
- Adversarial Reinforcement Learning papers (single-agent setting and multi-agent setting)☆73Updated 3 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