FSRL:Financial Strategy Reinforcement Learning.🔥股市量化多策略动态切换方法

official implementation of QVPO

The Codebase of <Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning> In NeurIPS 2024

Pseudocode of "Champion-Level Drone Racing Using Deep Reinforcement Learning" work

The Official Implementation of RoboMatrix

Official Code Repository for Sim-to-Real Deep Reinforcement Learning for UAV Obstacle Avoidance Under Measurement Uncertainty

A generative world for general-purpose robotics & embodied AI learning.

Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.

Deep Reinforcement Learning

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

A collection of reference environments for offline reinforcement learning

Code for the paper "Reinforced Curriculum Learning for Autonomous Driving in CARLA" (ICIP 2021)

Reinforcement Learning Agents Trained in the CARLA Simulator

(ICCV 2021, Oral) RL and distillation in CARLA using a factorized world model

Carla-Simulator environment compatible with Ray/Rllib

🚗 This repository offers a ready-to-use training and evaluation environment for conducting various experiments using Deep Reinforcement Learning (DRL) in the CARLA simulator with the help of Stable…

BEVFormer, UniAD, VAD in Closed-Loop CARLA Evaluation with World Model RL Expert Think2Drive

Implementation of Reinforcement Learning Agent using Deep Deterministic Policy Gradient Algorithm for Parking Vehicle in Carla simulator

Simulation verification and physical deployment of robot reinforcement learning algorithms, suitable for quadruped robots, wheeled robots, and humanoid robots. "sar" represents "simulation and real"

Motion imitation with deep reinforcement learning.

Code for "Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions"

Reinforcement learning environments with musculoskeletal models

Collection of reinforcement learning algorithms

A Python implementation of global optimization with gaussian processes.

The first behavioral foundation model to control a virtual physics-based humanoid agent for a wide range of whole-body tasks.