novicasarenac / car-racing-rlLinks
Reinforcement learning algorithms A2C, A3C and DQN
☆16Updated last year
Alternatives and similar repositories for car-racing-rl
Users that are interested in car-racing-rl are comparing it to the libraries listed below
Sorting:
- Actor critic reinforcement learning + motion and task planning under LTL tasks + wireless sensor network routing☆13Updated 4 years ago
- Apply major Reinforcement Learning algorithms (DQN,PPO,A2C) to CarRacing-v0 from GymAI environment.☆27Updated 3 years ago
- This is a repository of DQN and its variants implementation in PyTorch based on the original papar.☆13Updated 5 years ago
- This is pytorch implmentation project of Bootsrapped DQN☆12Updated 4 years ago
- Adaptation of DQN, DDQN and COMA for multi-agent Gym environments☆12Updated last year
- PyTorch Implementation of Hamilton-Jacobi DQN☆16Updated 4 years ago
- Codebase for Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads paper. Website: https://sites.google.com/view/met…☆31Updated 2 years ago
- A repository for code of reinforcement learning algorithms with PyTorch☆30Updated 3 years ago
- Pytorch Implement DRL algorithms (A2C, DDPG, PPO, TD3, SAC) for continuous action space control tasks.☆19Updated 5 years ago
- OpenAI Gym environment designed for training RL agents to control the flight of a two-dimensional drone.☆52Updated 3 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆77Updated 4 years ago
- The aim of this repo is to bring ideas and relevant literature relating to Safe-RL in the context of autonomous vehicles.☆48Updated 6 years ago
- Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing☆83Updated 2 years ago
- ☆39Updated 5 years ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆56Updated 3 years ago
- PyTorch implementation of DDPG for continuous control tasks.☆46Updated 5 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆103Updated 5 years ago
- A PyTorch implementation of deep Q-learning for Atari games☆14Updated 6 years ago
- ☆41Updated 6 years ago
- ☆15Updated 4 years ago
- Codes accompanying the paper "A Convergent and Efficient Deep Q Network Algorithm"☆8Updated 3 years ago
- Implementation of centralized training, centralized execution of Soft Actor-Critic (SAC) on a Tennis multiagent Unity environment.☆37Updated 4 years ago
- Representing robots as graphs for reinforcement-learning in PyBullet locomotion environments.☆33Updated 4 years ago
- Deep Implicit Coordination Graphs☆41Updated last year
- Reinforcement Learning | Multi-Agent RL | Self-Play | Proximal Policy Optimization Algorithm (PPO) agent | Unity Tennis environment☆20Updated last year
- Project exploring Multi Task Deep Reinforcement Learning neural network architectures and algorithms with Open AI Gym and TensorFlow☆17Updated 6 years ago
- Python code for Deep Reinforcement Learning with Transfer Learning in a Simulated Environment☆73Updated 2 years ago
- Gym environment for cooperative multi-agent reinforcement learning in heterogeneous robot teams☆46Updated 3 years ago
- Generalized Proximal Policy Optimization with Sample Reuse (GePPO)☆25Updated last year
- An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.☆82Updated 3 years ago