cyoon1729/RLcycle
quality grade D, 46 out of 100A library for ready-made reinforcement learning agents and reusable components for neat prototyping
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RL algorithms, environments, simulators and decision-making systems.
Signals: reinforcement-learning, deep-reinforcement-learning, rl, gymnasium, openai-gym, multi-agent-reinforcement-learning, imitation-learning
653 results
A library for ready-made reinforcement learning agents and reusable components for neat prototyping
Roach: End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. ICCV 2021.
Deep reinforcement learning without experience replay, target networks, or batch updates.
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
PARC: Physics-based Augmentation with Reinforcement Learning for Character Controllers
Deep Reinforcement Learning based Adaptive Real-time Path Planning for UAV
legged robot environments for reinforcement learning in multiple simulators (IsaacGym, Genesis, IsaacSim)
Repository for the ongoing development of the Brown-UMBC Reinforcement Learning And Planning (BURLAP) java library
We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.
codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"
NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms
Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!
xingtian is a componentized library for the development and verification of reinforcement learning algorithms
An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.
Repository relating to "Reinforcement Learning Meets Visual Odometry" (ECCV, 2024).
Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"
Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems
A repository of high-performing hierarchical reinforcement learning models and algorithms.
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Reinforcement learning of wheel-legged robots based on Genesis
A reinforcement learning framework based on MLX.
Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python
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