DanielPalaio / MountainCar-v0_DeepRLLinks
OpenAI MountainCar-v0 DeepRL-based solutions (DQN, DuelingDQN, D3QN)
☆25Updated 3 years ago
Alternatives and similar repositories for MountainCar-v0_DeepRL
Users that are interested in MountainCar-v0_DeepRL are comparing it to the libraries listed below
Sorting:
- Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)☆35Updated 6 years ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆36Updated 3 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆86Updated 7 years ago
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆32Updated last year
- The implement of all kinds of dqn reinforcement learning with Pytorch☆93Updated 4 years ago
- Implementation code for GraphMIX: Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning☆34Updated 4 years ago
- ☆89Updated 3 years ago
- Exploring algorithms in the domain of offline reinforcement learning (REM, Ensemble-DQN, DQN, ...)☆16Updated 5 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆91Updated 4 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆105Updated 3 years ago
- The implement of the policy gradient RL algorithm with pytorch☆39Updated 4 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆70Updated 8 years ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆159Updated 2 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- Deep Reinforcement Learning for Nash Equilibria☆43Updated 2 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- Experiments for performing empirical game-theoretic analysis of networked system control for common-pool resource management using multi-…☆18Updated 4 years ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆56Updated 3 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆119Updated 9 months ago
- Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)☆39Updated 6 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆143Updated 6 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- qmix☆23Updated 5 years ago
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆60Updated 5 years ago
- Nash Q Learning☆31Updated 4 years ago
- RL projects including implementation of DQN/DDPG/MADDPG/BicNet on StarCraft II multi-agent learning environment SMAC☆48Updated 5 years ago
- Project on multi agent reinforcement learning applied on patrolling agents☆40Updated 5 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆98Updated 2 years ago
- Code for Weighted QMIX☆138Updated 4 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆41Updated 6 years ago