reward-shaping
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RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
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May 12, 2024 - Python
Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout
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Mar 4, 2025 - Jupyter Notebook
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
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Oct 5, 2022 - Python
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.
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Jul 24, 2024 - Jupyter Notebook
TraderNet-CRv2 - Combining Deep Reinforcement Learning with Technical Analysis and Trend Monitoring on Cryptocurrency Markets
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Oct 2, 2023 - Jupyter Notebook
Guide Your Agent with Adaptive Multimodal Rewards (NeurIPS 2023 Accepted)
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Sep 25, 2023 - Python
Dota 2 bot that is trained by Deep RL with expert demonstrations
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Oct 15, 2022 - Python
Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL
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Oct 29, 2023 - Python
Bayesian Reward Shaping Framework for Deep Reinforcement Learning
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Mar 29, 2019 - Python
Implementation of Humanoid Standing Up, from the paper "Learning Humanoid Standing-up Control across Diverse Postures" out of Shanghai, in Pytorch
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Mar 17, 2025 - Python
Code for "DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks"
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Apr 26, 2024 - Python
3D gym environments to train RL agents to play the Slime Volleyball game in 3 dimensions using Webots as simulator.
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Jul 28, 2023 - Python
Benchmarks for risk-aware reward shaping of autonomous driving
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Sep 7, 2024 - Jupyter Notebook
A gymnasium-compatible framework to create reinforcement learning (RL) environment for solving the optimal power flow (OPF) problem. Contains five OPF benchmark environments for comparable research.
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Jan 28, 2025 - Python
Set of experiments of using weights of a previously trained network as prior knowledge for a more complicated one and reward providing.
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Sep 4, 2024 - Python
Reinforcement Learning Exploration of PPO and training methods in Rocket League
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Dec 6, 2022 - Python
This repo empirically investigates that Weight Agnostic Neural Networks (WANN) are a promising alternative to traditional RL models in sparse settings.
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Feb 13, 2025 - Python
Code from the IJCAI 2019 paper "Controllable Neural Story Plot Generation via Reward Shaping"
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May 31, 2022 - Python
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