Topic: policy-optimization Goto Github
Some thing interesting about policy-optimization
Some thing interesting about policy-optimization
policy-optimization,Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
User: chauncygu
policy-optimization,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.
Organization: claire-labo
Home Page: https://arxiv.org/abs/2405.00662
policy-optimization,Policy Optimization with Penalized Point Probability Distance: an Alternative to Proximal Policy Optimization
User: cxxgtxy
policy-optimization,Implementation of a Deep Reinforcement Learning algorithm, Proximal Policy Optimization (SOTA), on a continuous action space openai gym (Box2D/Car Racing v0)
User: elsheikh21
policy-optimization,This repository contains the code for the NeurIPS 2021 submission "Local policy search with Bayesian optimization".
User: gibo-neurips-2021
policy-optimization,An implementation of the reinforcement learning for CartPole-v0 by policy optimization
User: grassking100
policy-optimization,Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)
User: liziniu
policy-optimization,Model-based Policy Gradients
User: mahanfathi
policy-optimization,Mirror Descent Policy Optimization
User: manantomar
policy-optimization,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.
User: mehdishahbazi
policy-optimization,Code for Policy Optimization as Online Learning with Mediator Feedback
User: proceduralia
policy-optimization,This repository contains the code for the paper "Local policy search with Bayesian optimization".
User: sarmueller
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