ray-project / rl-experimentsLinks
Keeping track of RL experiments
☆162Updated 2 years ago
Alternatives and similar repositories for rl-experiments
Users that are interested in rl-experiments are comparing it to the libraries listed below
Sorting:
- Code for the paper "Phasic Policy Gradient"☆262Updated 2 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆178Updated 11 months ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆201Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆317Updated 3 years ago
- Random Network Distillation pytorch☆252Updated 6 years ago
- ☆198Updated 2 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆103Updated 4 months ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 5 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆501Updated 2 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆190Updated 2 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated this week
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆96Updated 5 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆223Updated 3 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆316Updated 2 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 4 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆214Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆142Updated 6 years ago
- ☆111Updated 5 years ago
- Multi Task RL Baselines☆244Updated 3 years ago
- Real-World RL Benchmark Suite☆356Updated 4 years ago
- ☆144Updated 7 months ago
- ☆132Updated 11 months ago
- Multitask Environments for RL☆278Updated 3 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆161Updated 4 years ago
- OpenAI Gym wrapper for ViZDoom enviroments☆69Updated 3 years ago
- Performances of Reinforcement Learning Agents☆53Updated 5 years ago
- The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as …☆165Updated last year
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆125Updated 4 years ago
- Gridworld for MARL experiments☆141Updated 4 years ago