There are 1 repository under reward-shaping topic.
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
Guide Your Agent with Adaptive Multimodal Rewards (NeurIPS 2023 Accepted)
Dota 2 bot that is trained by Deep RL with expert demonstrations
TraderNet-CRv2 - Combining Deep Reinforcement Learning with Technical Analysis and Trend Monitoring on Cryptocurrency Markets
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.
Code for "DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks"
Benchmarks for risk-aware reward shaping of autonomous driving
A lightweight package for running small experiments with reward shaping in reinforcement learning.
Reinforcement Learning Exploration of PPO and training methods in Rocket League
BAT Basic Attention Token, Brave, Uphold, DAPP, Cryptocurrenies.
Project for a semi-centralized logic-based MARL reward shaping method that is scalable in the number of agents and evaluates it in multiple scenarios
Code from the IJCAI 2019 paper "Controllable Neural Story Plot Generation via Reward Shaping"
Ressources pour la présentation orale: "Une intuition sur RUDDER (Return Decomposition for Delayed Rewards)"
This repo demonstrates basic Q-learning for the Mountain Car Gym environment. It also shows how reward shaping can result in faster training of the agent.
Pacman games with multi agents. Evaluating the performance of Pacman and the ghosts.