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:
- Apply major Reinforcement Learning algorithms (DQN,PPO,A2C) to CarRacing-v0 from GymAI environment.☆27Updated 3 years ago
- A repository for code of reinforcement learning algorithms with PyTorch☆30Updated 4 years ago
- PyTorch Implementation of Hamilton-Jacobi DQN☆16Updated 4 years ago
- Representing robots as graphs for reinforcement-learning in PyBullet locomotion environments.☆33Updated 4 years ago
- Hierarchical Reinforcement Learning (batteries included)☆46Updated 5 years ago
- My personal practice to implement algorithms of RL from scratch.☆37Updated 5 years ago
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 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.☆49Updated 7 years ago
- SARSA, Q-Learning, Expected SARSA, SARSA(λ) and Double Q-learning Implementation and Analysis☆29Updated 6 years ago
- ☆31Updated 4 years ago
- Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing☆83Updated 2 years ago
- Codebase for Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads paper. Website: https://sites.google.com/view/met…☆32Updated 2 years ago
- Pytorch Implement DRL algorithms (A2C, DDPG, PPO, TD3, SAC) for continuous action space control tasks.☆19Updated 5 years ago
- Deep Q-Network (DQN) and Fitted Q-Iteration (FQI) tutorial for RL Summer School 2023☆80Updated last week
- Generalized Proximal Policy Optimization with Sample Reuse (GePPO)☆25Updated 2 years ago
- Learning multi-agent policies for flocking using graph neural networks☆81Updated 2 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆48Updated 6 years ago
- OpenAI Gym interfaces for multi-robot flocking problems☆41Updated 4 years ago
- deep-reinforcement-learning☆16Updated 6 years ago
- Heterogeneous Multi-Robot Reinforcement Learning☆53Updated last year
- OpenAI Gym environment designed for training RL agents to control the flight of a two-dimensional drone.☆55Updated 3 years ago
- Project exploring Multi Task Deep Reinforcement Learning neural network architectures and algorithms with Open AI Gym and TensorFlow☆17Updated 7 years ago
- Adaptation of DQN, DDQN and COMA for multi-agent Gym environments☆12Updated last year
- Deep Implicit Coordination Graphs☆43Updated last year
- Collection of OpenAI parametrized action-space environments.☆66Updated 6 months ago
- Evolution-based Soft Actor-Critic (ESAC)☆42Updated last year
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆40Updated 5 years ago
- 2D Gridworld navigation using RL with Hindsight Experience Replay☆44Updated 6 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆79Updated 4 years ago