DanielPalaio / MountainCar-v0_DeepRLLinks
OpenAI MountainCar-v0 DeepRL-based solutions (DQN, DuelingDQN, D3QN)
☆24Updated 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:
- Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)☆35Updated 6 years ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆36Updated 4 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆67Updated 6 years ago
- qmix☆23Updated 5 years ago
- Exploring algorithms in the domain of offline reinforcement learning (REM, Ensemble-DQN, DQN, ...)☆17Updated 5 years ago
- meta-MADDPG (Python implementation)☆19Updated 7 years ago
- Multiagent deep reinforcement learning research project☆28Updated last year
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆39Updated 2 years ago
- The code for maddpg using pytorch☆168Updated 5 years ago
- Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatib…☆66Updated 3 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆104Updated 2 years ago
- Implementation code for GraphMIX: Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning☆36Updated 4 years ago
- ☆90Updated 4 years ago
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆71Updated 6 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☆21Updated 5 years ago
- Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)☆38Updated 7 years ago
- Deep Reinforcement Learning for Nash Equilibria☆47Updated 3 years ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆167Updated 2 years ago
- Decentralized deep multi-agent reinforcement learning in physical environments.☆14Updated 7 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆107Updated 5 years ago
- Experiments for performing empirical game-theoretic analysis of networked system control for common-pool resource management using multi-…☆18Updated 5 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆88Updated 8 years ago
- Nash Q Learning☆32Updated 5 years ago
- BranchingDQN☆51Updated 6 years ago
- Project on multi agent reinforcement learning applied on patrolling agents☆40Updated 6 years ago
- Collection of OpenAI parametrized action-space environments.☆68Updated 10 months ago
- Codes for Paper "Delay-Aware Multi-Agent Reinforcement Learning".☆55Updated 5 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆166Updated 2 years ago
- The implement of all kinds of dqn reinforcement learning with Pytorch☆96Updated 4 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago