DanielPalaio / MountainCar-v0_DeepRLLinks
OpenAI MountainCar-v0 DeepRL-based solutions (DQN, DuelingDQN, D3QN)
☆25Updated 4 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:
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆102Updated 2 years ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆36Updated 4 years ago
- qmix☆23Updated 5 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆88Updated 7 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆107Updated 4 years ago
- meta-MADDPG (Python implementation)☆19Updated 7 years ago
- ☆89Updated 4 years ago
- Fully Cooperative Multi-Agent Deep Reinforcement Learning☆28Updated 5 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆67Updated 6 years ago
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆36Updated last year
- scalable multi agents reinforcement learning☆63Updated 7 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆73Updated 8 years ago
- Adaptation of DQN, DDQN and COMA for multi-agent Gym environments☆12Updated 2 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆54Updated 4 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)☆36Updated 6 years ago
- Decision Transformer: A brand new Offline RL Pattern.☆37Updated 3 years ago
- Experiments for performing empirical game-theoretic analysis of networked system control for common-pool resource management using multi-…☆18Updated 5 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆94Updated 4 years ago
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆59Updated 5 years ago
- Implementation for mSAC methods in PyTorch☆42Updated 4 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 6 years ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆165Updated 2 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆71Updated 3 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆106Updated 3 years ago
- The implement of all kinds of dqn reinforcement learning with Pytorch☆94Updated 4 years ago
- Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)☆39Updated 7 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆94Updated last year
- Re-produce DQN, REINFORCE, REINFORCE with baseline, one-step AC, QAC, QAC with shared network, PPO2, DDPG, TD3, SAC, SAC discrete,A2C,A3C☆21Updated 5 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆28Updated 5 years ago