honghaow / FORK
☆14Updated 3 years ago
Alternatives and similar repositories for FORK:
Users that are interested in FORK are comparing it to the libraries listed below
- Proximal Policy Optimization (Continuous Version) in PyTorch.☆27Updated 3 years ago
- Carla-Simulator environment compatible with Ray/Rllib☆36Updated 5 years ago
- Code used to train an augmented auto-encoder (aka denoising auto-encoder with more augmentations) for the DonkeyCar simulator.☆46Updated 2 years ago
- Simple Grid Environment for Gymnasium☆54Updated last month
- An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.☆80Updated 3 years ago
- A collection of pre-trained RL agents using Stable Baselines3☆124Updated 4 months ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆87Updated 2 years ago
- Benchmarks for Multi-Objective Multi-Agent Decision Making☆86Updated 2 weeks ago
- The Starcraft Multi-Agent challenge lite☆42Updated 6 months ago
- Gym environments and agents for autonomous driving.☆96Updated last year
- ☆70Updated last year
- QuaRL is an open-source framework for systematically studying the effect of applying quantization to reinforcement learning algorithms.☆68Updated 2 years ago
- Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing☆82Updated last year
- Uber's Multi-Agent Routing Value Iteration Network☆64Updated 4 years ago
- Graph convolutional memory for reinforcement learning☆23Updated 3 years ago
- Multi-Agent Reinforcement Learning with Stable-Baselines3☆20Updated 3 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆78Updated 4 years ago
- A Torch Based RL Framework for Rapid Prototyping of Research Papers☆66Updated 2 months ago
- 📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️☆51Updated 10 months ago
- Official code of Nash-DQN for paper: Nash-DQN algorithm for two-player zero-sum Markov games, details see our paper: A Deep Reinforcement…☆19Updated 2 years ago
- Pytorch implementation of the Deep Deterministic Policy Gradients for Continuous Control☆26Updated 2 years ago
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…☆136Updated 2 years ago
- A web based platform for collecting human actions in reinforcement learning environments☆28Updated last year
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆171Updated 9 months ago
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆51Updated 2 years ago
- Prioritized Experience Replay implementation with proportional prioritization☆75Updated last year
- Level-based Foraging (LBF): A multi-agent environment for RL☆175Updated 6 months ago
- VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of …☆402Updated this week
- This code accompanies the paper "Scalable Multi-Agent Model-Based Reinforcement Learning".☆53Updated last year