reward-shaping topic
rl-starter-files
RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
torch-ac
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
MultiHopKG
Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout
dota2-expert-demo
Dota 2 bot that is trained by Deep RL with expert demonstrations
Risk-based_RL_for_Optimal_Trading_Execution
TraderNet-CRv2
TraderNet-CRv2 - Combining Deep Reinforcement Learning with Technical Analysis and Trend Monitoring on Cryptocurrency Markets
NeuOpt
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.
bayesian-reward-shaping
Bayesian Reward Shaping Framework for Deep Reinforcement Learning
RewardShifting
Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL
ARP
Guide Your Agent with Adaptive Multimodal Rewards (NeurIPS 2023 Accepted)