mahakal001 / reinforcement-learning
A collection of various projects related to Reinforcement Learning
☆20Updated 4 years ago
Alternatives and similar repositories for reinforcement-learning:
Users that are interested in reinforcement-learning are comparing it to the libraries listed below
- An open, minimalist Gymnasium environment for autonomous coordination in wireless mobile networks.☆122Updated 3 months ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆64Updated 5 years ago
- ☆182Updated 3 years ago
- Deep Reinforcement Learning with DQN, Double DQN, Dueling DQN, Noisy Net (Noisy DQN), and DQN with Prioritized Experience Replay☆95Updated 4 years ago
- ☆83Updated 3 years ago
- Practical tutorial on RLlib for deep hierarchical multi-agent reinforcement learning☆61Updated 2 years ago
- multi-agent deep reinforcement learning for networked system control.☆402Updated 4 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆98Updated 5 years ago
- QMIX implemented in TensorFlow 2☆17Updated 3 years ago
- An RL agent for the Google Football environment☆95Updated 3 years ago
- Single-file pytorch implementation of hybrid-SAC☆54Updated 3 years ago
- BranchingDQN☆49Updated 6 years ago
- Using pytorch to implement DQN / DDQN / Atari DDQN☆36Updated 6 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆318Updated 5 years ago
- (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning☆112Updated 2 years ago
- ☆39Updated 4 years ago
- An OpenAI gym multi-agent environment implementing the Commons Game proposed in "A multi-agent reinforcement learning model of common-poo…☆21Updated 4 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆83Updated last year
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆141Updated last year
- Implementation for mSAC methods in PyTorch☆40Updated 3 years ago
- Policy Gradient Actor-Critic PyTorch | Lunar Lander v2☆72Updated 5 years ago
- ☆23Updated 2 years ago
- Multi-agent reinforcement learning framework☆31Updated 4 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆202Updated 5 years ago
- Actor-Critic and openAI clipped PPO in gym cartpole-v0 and pendulum-v0 environment☆24Updated 4 years ago
- Solving POMDP using Recurrent networks☆85Updated 4 years ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆68Updated 6 months ago
- An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…☆190Updated 2 years ago
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆98Updated 2 years ago
- Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51☆286Updated 4 years ago