Bayesian Reward Shaping Framework for Deep Reinforcement Learning
-
Updated
Mar 29, 2019 - Python
Bayesian Reward Shaping Framework for Deep Reinforcement Learning
BAT Basic Attention Token, Brave, Uphold, DAPP, Cryptocurrenies.
Ressources pour la présentation orale: "Une intuition sur RUDDER (Return Decomposition for Delayed Rewards)"
Code from the IJCAI 2019 paper "Controllable Neural Story Plot Generation via Reward Shaping"
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
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
Dota 2 bot that is trained by Deep RL with expert demonstrations
Reward shaping library
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.
Reinforcement Learning Exploration of PPO and training methods in Rocket League
A lightweight package for running small experiments with reward shaping in reinforcement learning.
3D gym environments to train RL agents to play the Slime Volleyball game in 3 dimensions using Webots as simulator.
Guide Your Agent with Adaptive Multimodal Rewards (NeurIPS 2023 Accepted)
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
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.
Pacman games with multi agents. Evaluating the performance of Pacman and the ghosts.
Benchmarks for risk-aware reward shaping of autonomous driving
Code for "DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks"
Add a description, image, and links to the reward-shaping topic page so that developers can more easily learn about it.
To associate your repository with the reward-shaping topic, visit your repo's landing page and select "manage topics."