anh-nn01 / Lunar-Lander-Double-Deep-Q-Networks
An AI agent that use Double Deep Q-learning to teach itself to land a Lunar Lander on OpenAI universe
☆15Updated 3 years ago
Related projects: ⓘ
- ☆11Updated 5 years ago
- RLToolkit is a flexible and high-efficient reinforcement learning framework. Include implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG,…☆16Updated 9 months ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆44Updated 3 years ago
- A simple example of how to implement vector based DDPG for MARL tasks using PyTorch and a ML-Agents environment.☆34Updated 5 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆63Updated 5 years ago
- Value-Decomposition Networks For Cooperative Multi-Agent Learning☆21Updated 3 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆56Updated last year
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆71Updated 3 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆122Updated 10 months ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆72Updated 3 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆29Updated 2 years ago
- Project on multi agent reinforcement learning applied on patrolling agents☆38Updated 4 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆139Updated 5 months ago
- ☆13Updated last year
- Deep recurrent Q learning on CartPole-v1 environment☆70Updated 8 months ago
- The state-of-the-art in multi-agent Reinforcement Learning is the MADDPG algorithm which utilises DDPG actor-critic neural networks where…☆23Updated 4 years ago
- Multi agent PPO implementation in Pytorch for Unity ML Agents environments.☆23Updated last month
- Multi-agent reinforcement learning programs based on Game theory☆32Updated last year
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆39Updated 4 years ago
- PyTorch implementations of MADDPG, MAPPO (coming)☆63Updated 6 months ago
- OpenAI Gym environment designed for training RL agents to control the flight of a two-dimensional drone.☆39Updated 2 years ago
- A Reinforcement Learning Project using PPO + LSTM☆37Updated last year
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆34Updated 5 years ago
- Implement Google Deep Minds DQN for multiple agents for a grid world environment where vehicles must pick up customers.☆27Updated 6 years ago
- ☆41Updated 5 years ago
- Implementation of centralized training, centralized execution of Soft Actor-Critic (SAC) on a Tennis multiagent Unity environment.☆30Updated 3 years ago
- Multi Agent adaptation of Soft Actor Critic Reinforcement Learning Algorithm☆11Updated 5 years ago
- Nash Q Learning☆30Updated 3 years ago
- Implementation of Off Policy Adversarial Inverse Reinforcement Learning☆20Updated 3 years ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆27Updated 3 years ago