Popular GitHub Repositories for Reward Shaping

RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", which has been accepted at NeurIPS 2023.

Guide Your Agent with Adaptive Multimodal Rewards (NeurIPS 2023 Accepted)

Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL

Bayesian Reward Shaping Framework for Deep Reinforcement Learning

3D gym environments to train RL agents to play the Slime Volleyball game in 3 dimensions using Webots as simulator.

Benchmarks for risk-aware reward shaping of autonomous driving

This repo empirically investigates that Weight Agnostic Neural Networks (WANN) are a promising alternative to traditional RL models in sparse settings.

Reinforcement Learning Exploration of PPO and training methods in Rocket League