AGiannoutsos / car_racer_gym
Apply major Reinforcement Learning algorithms (DQN,PPO,A2C) to CarRacing-v0 from GymAI environment.
☆25Updated 3 years ago
Alternatives and similar repositories for car_racer_gym
Users that are interested in car_racer_gym are comparing it to the libraries listed below
Sorting:
- Lightweight multi-agent gridworld Gym environment☆208Updated last year
- ☆17Updated 4 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆123Updated 4 years ago
- Reinforcement learning algorithms A2C, A3C and DQN☆17Updated last year
- ☆68Updated 2 years ago
- Implementation of the Nash Q-Learning algorithm to solve simple MARL problems with two agents.☆22Updated 2 years ago
- Gym environments and agents for autonomous driving.☆96Updated last year
- Deep recurrent Q learning on CartPole-v1 environment☆89Updated last year
- An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.☆82Updated 3 years ago
- RLCodebase: PyTorch Codebase For Deep Reinforcement Learning Algorithms☆26Updated last year
- Applying minimaxQ learning algorithm to 2 agents games☆33Updated 7 years ago
- Reinforcement Learning | Multi-Agent RL | Self-Play | Proximal Policy Optimization Algorithm (PPO) agent | Unity Tennis environment☆19Updated last year
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆77Updated 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
- Collection of OpenAI parametrized action-space environments.☆65Updated last month
- ☆39Updated 4 years ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆68Updated last month
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆128Updated 9 months ago
- Reinforcement Learning for Gym CarRacing-v0 with PyTorch☆157Updated 6 years ago
- 📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️☆52Updated last year
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆65Updated 8 months ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆181Updated 8 months ago
- A collection of environments and reference agents for planning and reinforcement learning research in partially observable, multi-agent …☆21Updated 6 months ago
- An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games☆29Updated 2 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
- Prioritized Experience Replay implementation with proportional prioritization☆77Updated last year
- PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)☆55Updated 2 years ago
- Distributed Heuristic Multi-Agent Path Finding with Communication - ICRA 2021☆70Updated 3 years ago
- Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"☆29Updated 3 years ago
- Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.☆97Updated this week