Alternatives and similar repositories for reinforcement_learning_v_mpo

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

• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆70Updated last month
• yuchen-x / MacroMARL
  ☆22Updated last year
• max7born / decision-lstm
  Codebase for the paper "How Crucial is Transformer in Decision Transformer?". Containing experiments on different pendulum tasks and code…
  ☆27Updated 2 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆40Updated 3 years ago
• polixir / causal-mbrl
  Toolkit of Causal Model-based Reinforcement Learning.
  ☆32Updated 2 years ago
• danielwillemsen / MAMBPO
  DecentralizedLearning
  ☆25Updated 2 years ago
• quantumiracle / MARS
  MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.
  ☆50Updated last year
• Manchery / iql-pytorch
  Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL
  ☆23Updated 9 months ago
• yashbonde / Transformer-RL
  Experiments to train transformer network to master reinforcement learning environments.
  ☆32Updated 4 years ago
• omron-sinicx / action-constrained-RL-benchmark
  ☆25Updated last year
• YYCAAA / V-MPO_Lunarlander
  Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238
  ☆48Updated 4 years ago
• martius-lab / pink-noise-rl
  ☆43Updated 2 years ago
• uoe-agents / derl
  The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)
  ☆27Updated 3 years ago
• zhihanyang2022 / off-policy-continuous-control
  Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)
  ☆88Updated last year
• pairlab / d2rl
  Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"
  ☆40Updated 4 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated last month
• abalakrishna123 / recovery-rl
  Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.
  ☆59Updated 2 years ago
• hari-sikchi / AWAC
  Advantage weighted Actor Critic for Offline RL
  ☆50Updated 3 years ago
• Improbable-AI / eipo
  Official codebase for Redeeming Intrinsic Rewards via Constrained Policy Optimization
  ☆81Updated 2 years ago
• dsbrown1331 / CoRL2019-DREX
  Code and project page for D-REX algorithm from the paper "Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrat…
  ☆51Updated 2 years ago
• clvrai / coordination
  Learning to Coordinate Manipulation Skills via Skill Behavior Diversification (ICLR 2020)
  ☆48Updated 3 years ago
• KarlXing / RL-Visual-Continuous-Control
  RL Algorithms for Visual Continuous Control
  ☆33Updated 2 years ago
• dhruvramani / model-based-atari
  An easy to understand implementation of the paper "Model-Based Reinforcement Learning for Atari"
  ☆15Updated 5 years ago
• acyclics / MPO
  Pytorch implementation of "Maximum a Posteriori Policy Optimization" with Retrace for Discrete gym environments
  ☆27Updated 4 years ago
• tseyde / decqn
  ☆36Updated 2 years ago
• sdpkjc / abcdrl
  Modular Single-file Reinfocement Learning Algorithms Library
  ☆38Updated 2 years ago
• intelligent-control-lab / guard
  ☆53Updated 7 months ago
• LAVA-LAB / safe-slac
  Safe SLAC, an algorithm for safe cost-constrained reinforcement learning in high-dimensional POMDPs.
  ☆11Updated 2 years ago
• jsikyoon / V-MPO_torch
  V-MPO torch version with DMLab30 and GTrXL
  ☆13Updated 4 years ago
• twni2016 / Memory-RL
  When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)
  ☆64Updated last year