Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
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Apr 17, 2024 - Python
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policy-optimization
Here are 24 public repositories matching this topic...
Implementation of a Deep Reinforcement Learning algorithm, Proximal Policy Optimization (SOTA), on a continuous action space openai gym (Box2D/Car Racing v0)
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Apr 2, 2019 - Python
Policy Optimization with Penalized Point Probability Distance: an Alternative to Proximal Policy Optimization
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Nov 8, 2018 - Python
[AAAI 2026] D²PPO: Diffusion Policy Policy Optimization with Dispersive Loss.
control robotics rl manipulation fine-tuning post-training policy-optimization online-rl diffusion-policy
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Nov 22, 2025 - Python
Mirror Descent Policy Optimization
reinforcement-learning deep-learning deep-reinforcement-learning deep-learning-algorithms sac trpo deep-rl ppo deep-learning-ai policy-optimization stable-baselines model-free-rl mirror-descent mdpo
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Oct 31, 2020 - Python
Model-based Policy Gradients
reinforcement-learning openai-gym pytorch computation-graph gym policy-gradient finite-difference backpropagation computational-graphs mujoco model-based ilqg ilqr ilqg-mujoco mujoco-py policy-gradients policy-optimization direct-policy-search mujoco-dynamics
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Mar 12, 2020 - Python
Codebase to fully reproduce the results of "No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO" (Moalla et al. 2024). Uses TorchRL and provides extensive tools for studying representation dynamics in policy optimization.
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Nov 20, 2024 - Python
Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)
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Dec 19, 2023 - Python
This repository contains the code for the paper "Local policy search with Bayesian optimization".
reinforcement-learning pytorch gym policy-gradient gradient-descent bayesian-optimization active-learning mujoco policy-optimization
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Oct 27, 2022 - Jupyter Notebook
reinforcement-learning deep-reinforcement-learning openai-gym pytorch policy-gradient proximal-policy-optimization ppo atari-pong policy-optimization
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Feb 28, 2023 - Jupyter Notebook
Reinforcement Learning (RL)! This repository is your hands-on guide to implementing RL algorithms, from Markov Decision Processes (MDPs) to advanced methods like PPO and DDPG. Build smart agents, learn the math behind policies, and experiment with real-world applications!
agent research reinforcement-learning monte-carlo policy-gradient markov-decision-processes temporal-differencing-learning proximal-policy-optimization model-based-rl actor-critic-algorithm policy-optimization model-free-rl
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Jan 27, 2026 - Python
CPPO: Contrastive Perception for Vision Language Policy Optimization
reinforcement-learning-algorithms policy-optimization contrastive-learning perception-aware vision-language-model entropy-based-approach cppo vision-token
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Dec 22, 2025
Code for Policy Optimization as Online Learning with Mediator Feedback
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Dec 27, 2020 - Python
Code accompanying the NeurIPS 2025 paper "Sequential Monte Carlo for Policy Optimization in Continuous POMDPs".
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Oct 8, 2025 - Python
An implementation of the reinforcement learning for CartPole-v0 by policy optimization
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Dec 17, 2021 - Python
This repo implements the REINFORCE algorithm for solving the Cart Pole V1 environment of the Gymnasium library using Python 3.8 and PyTorch 2.0.1.
python reinforcement-learning deep-learning deep-reinforcement-learning policy pytorch gym policy-gradient cart reinforce pendulum gymnasium drl cart-pole policy-optimization policy-based drl-pytorch reinforce-algorithm cart-pole-balancing cart-pole-v1
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Mar 19, 2024 - Python
“This project implements a mini LLM alignment pipeline using Reinforcement Learning from Human Feedback (RLHF). It includes training a reward model from human-annotated preference data, fine-tuning the language model via policy optimization, and performing ablation studies to evaluate robustness, fairness, and alignment trade-offs.”
python nlp machine-learning deep-learning transformers pytorch alignment language-models tokenization ai-safety fine-tuning preference-learning ppo policy-optimization dpo human-feedback rlhf reward-model
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Oct 19, 2025 - Jupyter Notebook
Optimizing Household Waste Segregation in the Municipality of Bacolod, Lanao del Norte: An Agent-Based Modeling and Reinforcement Learning Approach
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Feb 7, 2026 - Python
🛠️ Apply on-policy distillation to enhance Qwen3-0.6b's performance on GSM8K by learning from its own outputs, reducing bias during inference.
data-science machine-learning research reinforcement-learning ai deep-learning simulation tensorflow pytorch algorithm-development performance-evaluation educational-resources model-training policy-optimization on-policy-distillation
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Feb 7, 2026 - Jupyter Notebook
A collection of Jupyter notebooks implementing core reinforcement learning algorithms: Q-Learning, SARSA, and PPO.
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Jun 21, 2025 - Jupyter Notebook
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