policy-optimization

There are 0 repository under policy-optimization topic.

chauncygu / Multi-Agent-Constrained-Policy-Optimisation
Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
policy-optimization safe-reinforcement-learning multi-agent-reinforcement-learning
Language:Python 125
cxxgtxy / POP3D
Policy Optimization with Penalized Point Probability Distance: an Alternative to Proximal Policy Optimization
policy-optimization proximal-policy-optimization reinforcement-learning deep-learning
Language:Python 44
elsheikh21 / car-racing-ppo
Implementation of a Deep Reinforcement Learning algorithm, Proximal Policy Optimization (SOTA), on a continuous action space openai gym (Box2D/Car Racing v0)
proximal-policy-optimization openai-gym deep-reinforcement-learning ppo policy-optimization
Language:Python 40
manantomar / Mirror-Descent-Policy-Optimization
Mirror Descent Policy Optimization
reinforcement-learning policy-optimization deep-reinforcement-learning trpo ppo sac deep-learning deep-learning-algorithms stable-baselines mirror-descent deep-learning-ai mdpo deep-rl model-free-rl
Language:Python 33
MahanFathi / Model-Based-RL
Model-based Policy Gradients
model-based reinforcement-learning backpropagation mujoco mujoco-py finite-difference computational-graphs pytorch gym openai-gym ilqg direct-policy-search policy-optimization policy-gradient ilqg-mujoco ilqr mujoco-dynamics policy-gradients computation-graph
Language:Python 29
liziniu / policy_optimization
Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)
bandit large-language-models policy-optimization rlhf stochastic-approximation
Language:Python 23
sarmueller / gibo
This repository contains the code for the paper "Local policy search with Bayesian optimization".
active-learning bayesian-optimization gradient-descent gym mujoco policy-gradient policy-optimization pytorch reinforcement-learning
Language:Jupyter Notebook 13
CLAIRE-Labo / no-representation-no-trust
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.
deep-learning policy-optimization reinforcement-learning
Language:Jupyter Notebook 10
bmaxdk / OpenAI-Gym-PongDeterministic-v4-PPO
ppo proximal-policy-optimization policy-gradient deep-reinforcement-learning reinforcement-learning pytorch openai-gym policy-optimization atari-pong
Language:Jupyter Notebook 9
grassking100 / reinforcement_learning
An implementation of the reinforcement learning for CartPole-v0 by policy optimization
cartpole-v0 reinforcement-learning pytorch deep-learning policy-optimization
Language:Python 2
proceduralia / randomist
Code for Policy Optimization as Online Learning with Mediator Feedback
thompson-sampling exploration policy-optimization multi-armed-bandits mcmc
Language:Python 2
MehdiShahbazi / REINFORCE-Cart-Pole-Gymnasium
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.
cart cart-pole cart-pole-balancing deep-learning deep-reinforcement-learning gym pendulum policy policy-based policy-gradient policy-optimization python pytorch reinforce reinforce-algorithm reinforcement-learning cart-pole-v1 drl drl-pytorch gymnasium
Language:Python 0
gibo-neurips-2021 / GIBO
This repository contains the code for the NeurIPS 2021 submission "Local policy search with Bayesian optimization".
reinforcement-learning bayesian-optimization active-learning policy-optimization policy-gradient gym mujoco
Language:Jupyter Notebook