MehdiShahbazi / DQN-Frozenlake-Gymnasium
This repo implements Deep Q-Network (DQN) for solving the Frozenlake-v1 environment of the Gymnasium library using Python 3.8 and PyTorch 2.0.1 in both 4x4 and 8x8 map sizes.
☆17Updated last year
Alternatives and similar repositories for DQN-Frozenlake-Gymnasium:
Users that are interested in DQN-Frozenlake-Gymnasium are comparing it to the libraries listed below
- Adaptation of DQN, DDQN and COMA for multi-agent Gym environments☆12Updated last year
- ☆8Updated 2 years ago
- Implementation of Pareto Deep Q Networks in a multi-objective Gym Reinforcement Learning Environment☆14Updated last year
- A clean and robust implementation of Prioritized DQN and Prioritized Double DQN☆19Updated 9 months ago
- Transfer Learning in Reinforcement Learning using Stable-Baseline3 | Transfer Reinforcement Learning for Differing Action Spaces via Q-Ne…☆20Updated 3 years ago
- qmix☆22Updated 4 years ago
- Official repository of the paper TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Proble…☆47Updated 11 months ago
- Official Pytorch implementation of Soft-DRGN (IEEE trans on Mobile Computing 2022)☆28Updated 2 years ago
- A multi-agent reinforcement learning framework for optimizing coverage and connectivity in Space-Air-Ground integrated networks. This pro…☆12Updated 3 weeks ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆42Updated 3 years ago
- Implementation of the Discrete Soft Actor-Critic algorithm with RNN policy in PyTorch☆24Updated 2 years ago
- Deep Q Network for Multi-agent RL☆15Updated 4 years ago
- [TNNLS] PGDQN: A generalized and efficient preference-guided epsilon-greedy policy equipped DQN for Atari and Autonomous Driving☆11Updated last year
- ☆11Updated 9 months ago
- PyTorch implementation of MATD3☆13Updated 4 years ago
- Code snippets of Meta Reinforcement Learning algorithms☆35Updated last year
- ICLR'2024: Learning Multi-Agent Communication from Graph Modeling Perspective☆28Updated last year
- Dynamic multi-cell selection for cooperative multipoint (CoMP) using (multi-agent) deep reinforcement learning☆61Updated last year
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆27Updated last year
- [ICDE 2023] Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning☆19Updated 2 years ago
- RLToolkit is a flexible and high-efficient reinforcement learning framework. Include implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG,…☆17Updated last year
- DQN related algorithms☆10Updated 2 years ago
- Source code of paper "A Hierarchical Reinforcement Learning Algorithm Based on Attention Mechanism for UAV Autonomous Navigation"☆18Updated 2 years ago
- ☆44Updated this week
- [ICDE 2022] Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented Distributed Multi-Agent Deep Reinforcement Learning☆24Updated 2 years ago
- Reinplemtation of paper "A reinforcement learning approach for optimizing multiple traveling salesman problems over graphs"☆60Updated 3 years ago
- Implementation for mSAC methods in PyTorch☆41Updated 3 years ago
- IQL, QMIX, VDN, COMA, QTRAN (QTRAN-Base and QTRAN-Alt), MAVEN, CommNet, DYMA-Cl, G2ANet, and MADDPG☆18Updated 3 years ago
- Verify MAPPO in task ‘simple_spread_v3‘☆10Updated 7 months ago
- ☆11Updated last year