Alternatives and similar repositories for Reinforcement_Learning

Users that are interested in Reinforcement_Learning are comparing it to the libraries listed below

• dnishio / DSAC
  The implementation of Discriminator Soft Actor Critic
  ☆15Updated 6 years ago
• homangab / gradcem
  Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
  ☆68Updated 5 years ago
• aravindsrinivas / neural-mpc
  ☆73Updated 5 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 6 years ago
• sparisi / td-reg
  TD-Regularized Actor-Critic Methods
  ☆36Updated 6 years ago
• natetsang / open-rl
  Implementations of a large collection of reinforcement learning algorithms.
  ☆28Updated 2 years ago
• befelix / lyapunov-learning
  Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes
  ☆39Updated 6 years ago
• pairlab / d2rl
  Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"
  ☆39Updated 5 years ago
• GhadaSokar / Dynamic-Sparse-Training-for-Deep-Reinforcement-Learning
  [IJCAI 2022] "Dynamic Sparse Training for Deep Reinforcement Learning" by Ghada Sokar, Elena Mocanu , Decebal Constantin Mocanu, Mykola P…
  ☆14Updated 3 years ago
• IBM / constrained-rl
  Constrained Exploration and Recovery from Experience Shaping
  ☆22Updated 6 years ago
• locuslab / robust-nn-control
  Enforcing robust control guarantees within neural network policies
  ☆56Updated 4 years ago
• hari-sikchi / safeRL
  Safe Reinforcement Learning algorithms
  ☆75Updated 3 years ago
• AliBaheri / Safe-Reinforcement-Learning
  The aim of this repo is to bring ideas and relevant literature relating to Safe-RL in the context of autonomous vehicles.
  ☆51Updated 7 years ago
• MIT-REALM / dcrl
  Density Constrained Reinforcement Learning
  ☆12Updated 2 years ago
• joeybose / FloRL
  Implicit Normalizing Flows + Reinforcement Learning
  ☆62Updated 6 years ago
• neka-nat / inv_rl
  Inverse Reinforcement Learning Argorithms
  ☆53Updated 6 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 5 years ago
• Riashat / Policy-Gradient-Reinforcement-Learning
  ☆37Updated 9 years ago
• befelix / Safe-RL-Benchmark
  A library to benchmark reinforcement learning algorithms
  ☆21Updated 7 years ago
• apourchot / CEM-RL
  Combining Evolutionary Algorithms and deep RL in various ways
  ☆107Updated 5 years ago
• StanfordASL / CoCo
  ☆38Updated 2 years ago
• Yusufma03 / DPFRL
  Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations (ICLR 2020)
  ☆27Updated 4 years ago
• two2tee / WorldModelPlanning
  ☆17Updated 4 years ago
• pratyushkumar211 / industrial_nnmpc_2021
  Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."
  ☆19Updated 4 years ago
• vdorobantu / lyapy
  Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.
  ☆42Updated 3 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• chennnnnyize-zz / Optimal-Control-via-Neural-Networks
  Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach
  ☆85Updated 6 years ago
• fshamshirdar / pytorch-rdpg
  PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)
  ☆56Updated 3 years ago
• rcheng805 / CORE-RL
  Code implementing the CORE-RL algorithm with DDPG, PPO, and TRPO. See the paper "Control Regularization for Reduced Variance Reinforcemen…
  ☆32Updated 5 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 6 months ago