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
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reward-shaping
Here are 39 public repositories matching this topic...
Inference-time scaling for LLMs-as-a-judge.
reward-shaping llm llm-as-a-judge test-time-compute inference-time-compute llm-judge test-time-scaling
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Nov 5, 2025 - Jupyter Notebook
Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout
reinforcement-learning pytorch knowledge-graph policy-gradient reward-shaping action-dropout multi-hop-reasoning
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Oct 6, 2025 - Jupyter Notebook
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
reinforcement-learning deep-reinforcement-learning pytorch recurrent-neural-networks multi-process a3c minigrid recurrent actor-critic proximal-policy-optimization ppo advantage-actor-critic a2c reward-shaping
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Oct 5, 2022 - Python
Robotics research demonstrating reliability and robustness in the real world (continuously updated)
reinforcement-learning robotics robots manipulation imitation-learning manipulator-robotics robotic-arm fine-tuning reward-shaping vision-language-model
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Feb 11, 2026
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.
reinforcement-learning deep-reinforcement-learning transformer vehicle-routing-problem vrp tsp neural-combinatorial-optimization k-opt reward-shaping learning-to-optimize
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Jul 24, 2024 - Jupyter Notebook
TraderNet-CRv2 - Combining Deep Reinforcement Learning with Technical Analysis and Trend Monitoring on Cryptocurrency Markets
python machine-learning deep-neural-networks tensorflow trading-bot deep-reinforcement-learning trading-algorithms technical-analysis technical-indicators google-trends ddqn google-trends-api proximal-policy-optimization cryptocurrency-trading reward-shaping explainability tf-agents double-dqn-algorithm risk-adjusted-return ppo-algorithm
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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
Compiling strategy guides into reward functions for reinforcement learning. Uses Claude Vision to extract unit tests from game guides, then trains agents with dense, interpretable rewards.
machine-learning pokemon reinforcement-learning gameboy neural-network browser-game rl webgpu claude tensorflow-js reward-shaping llms
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Jan 30, 2026 - JavaScript
Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL
reinforcement-learning ensemble ensemble-learning rnd deep-q-network reward-design reward-shaping exploration-exploitation value-based-methods reward-engineering offline-reinforcement-learning dqn-rnd ensemble-rl
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Oct 29, 2023 - Python
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.
benchmark environment reinforcement-learning supervised-learning rl optimal-power-flow energy-system gymnasium opf pandapower contextual-bandit reward-design reward-shaping power-system environment-design action-shaping
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Mar 22, 2025 - Python
Bayesian Reward Shaping Framework for Deep Reinforcement Learning
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Mar 29, 2019 - Python
Code for "DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks"
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Apr 26, 2024 - Python
Subtask-Aware Visual Reward Learning from Segmented Demonstrations (ICLR 2025 accepted)
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Apr 11, 2025 - Python
3D gym environments to train RL agents to play the Slime Volleyball game in 3 dimensions using Webots as simulator.
reinforcement-learning 3d-environment incremental-learning webots gym-environment reward-shaping multi-agent-reinforcement-learning
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Aug 10, 2025 - Python
Python + PyTorch. Advanced Reinforcement Learning (SAC/PPO/A2C) for ✨autonomous Robot Sumo combat featuring competitive self-play in continuous action spaces.
machine-learning reinforcement-learning robotics pytorch artificial-intelligence rl physics-simulation mobile-robots sac actor-critic sota ppo state-of-the-art a2c autonomous-robots self-play reward-shaping minisumo
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Feb 21, 2026 - Python
Benchmarks for risk-aware reward shaping of autonomous driving
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Sep 7, 2024 - Jupyter Notebook
⚔️ Playing Jedi Academy with Deep Curiosity ⚔️
game python deep-neural-networks deep-learning pytorch artificial-intelligence artificial-neural-networks game-ai actor-critic reward-shaping
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Aug 18, 2025 - Python
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