Kirili4ik / HRL-taxiLinks
Solution for Taxi env using HRL (Hierarchical reinforcement learning) (2018)
☆21Updated 5 years ago
Alternatives and similar repositories for HRL-taxi
Users that are interested in HRL-taxi are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of Soft Actor-Critic(SAC).☆103Updated 5 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆99Updated 5 years ago
- Implementation of Off Policy Adversarial Inverse Reinforcement Learning☆23Updated 4 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆123Updated 4 years ago
- ☆28Updated 4 years ago
- Pytorch GAIL VAIL AIRL VAIRL EAIRL SQIL Implementation☆65Updated 4 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆223Updated 4 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆103Updated 3 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆180Updated last year
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆56Updated 3 years ago
- Experiments with reinforcement learning and recurrent neural networks☆114Updated last year
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆210Updated 6 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆53Updated 3 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆288Updated 4 years ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆69Updated last month
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆180Updated 2 years ago
- The implementation of LSTM-TD3.☆81Updated 2 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆163Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆142Updated 6 years ago
- Implementation for mSAC methods in PyTorch☆42Updated 3 years ago
- Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python☆291Updated last year
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆68Updated 10 months ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆119Updated 8 months ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆183Updated 10 months ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆56Updated 3 years ago
- Solving POMDP using Recurrent networks☆87Updated 5 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆130Updated 11 months ago
- ☆40Updated 3 years ago
- Practical tutorial on RLlib for deep hierarchical multi-agent reinforcement learning☆65Updated 2 years ago