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:
- ☆22Updated last year
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆92Updated 4 years ago
- Official repository of the paper TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Proble…☆50Updated last year
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆180Updated last year
- Deep Reinforcement Learning framework that uses GNN to solve planning tasks for infrastructural assets☆16Updated 3 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- Implement reinforcement learning algorithms in Pytorch☆33Updated 4 years ago
- Code snippets of Meta Reinforcement Learning algorithms☆38Updated last year
- Source code for paper: An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning☆24Updated 2 years ago
- [NeurIPS 2022] Code for Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments☆12Updated 2 years ago
- A collection of Meta-Reinforcement Learning algorithms in PyTorch☆48Updated last year
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆72Updated 3 years ago
- Implementation for mSAC methods in PyTorch☆42Updated 3 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆50Updated 3 years ago
- ☆60Updated 4 years ago
- a clean and robust Pytorch implementation of SAC on continuous action space☆83Updated 3 months ago
- Transformer-based Multi-Agent Actor-Critic Framework☆47Updated 3 years ago
- Experiments for performing empirical game-theoretic analysis of networked system control for common-pool resource management using multi-…☆18Updated 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☆19Updated 4 years ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆156Updated last year
- Value-Decomposition Networks For Cooperative Multi-Agent Learning☆23Updated 4 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆51Updated 4 months ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆157Updated last year
- Source code for paper: Efficient deep reinforcement learning via adaptive policy transfer☆14Updated 2 years ago
- (Official) PyTorch implementation for Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning (EMU) (ICLR…☆48Updated last year
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆69Updated last month
- Project on multi agent reinforcement learning applied on patrolling agents☆40Updated 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
- ☆101Updated 3 years ago
- ☆40Updated 3 years ago