Alternatives and similar repositories for action-constrained-RL-benchmark

Users that are interested in action-constrained-RL-benchmark 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 4 months ago
• tseyde / decqn
  ☆35Updated 2 years ago
• facebookresearch / entity-factored-rl
  Source code for the paper "Policy Architectures for Compositional Generalization in Control"
  ☆30Updated 3 years ago
• MaxSobolMark / OOO
  Official repo for Offline RL for Online RL
  ☆18Updated 2 years ago
• zchuning / latco
  Model-Based Reinforcement Learning via Latent-Space Collocation.
  ☆34Updated 2 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆41Updated 3 years ago
• avisingh599 / cog
  [CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
  ☆34Updated 5 years ago
• 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
• kyonofx / tia
  [ICML 2021] Learning Task Informed Abstractions -- a representation learning approach for model-based RL in complex visual domains
  ☆18Updated 4 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
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆37Updated 2 years ago
• haosulab / RPG
  Code base for paper: Reparameterized Policy Learning for Multimodal Trajectory Optimization
  ☆27Updated 2 years ago
• tdmpc2 / tdmpc2-eval
  Evaluation of TD-MPC2.
  ☆21Updated last year
• holarissun / RewardShifting
  Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL
  ☆29Updated 2 years ago
• zhaoyi11 / tcrl
  ☆24Updated last year
• Lifelong-ML / Mendez2022ModularLifelongRL
  Source code to reproduce experiments from Mendez et al., ICLR '22
  ☆22Updated 3 years ago
• MahanFathi / Model-Based-RL
  Model-based Policy Gradients
  ☆32Updated 5 years ago
• seohongpark / CSD-locomotion
  Controllability-Aware Unsupervised Skill Discovery (ICML 2023)
  ☆27Updated 2 years ago
• sdpkjc / abcdrl
  Modular Single-file Reinfocement Learning Algorithms Library
  ☆38Updated 2 years ago
• penn-pal-lab / peg
  Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.
  ☆78Updated last year
• Manchery / iql-pytorch
  Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL
  ☆23Updated last year
• JasonMa2016 / GoFAR
  Official repository for Paper "Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression" (NeurIPS 2022)
  ☆36Updated 2 years ago
• SAIC-MONTREAL / hyperzero
  Code for AAAI 2023 paper "Hypernetworks for Zero-shot Transfer in Reinforcement Learning"
  ☆20Updated 2 years ago
• clvrai / coordination
  Learning to Coordinate Manipulation Skills via Skill Behavior Diversification (ICLR 2020)
  ☆49Updated 3 years ago
• clvrai / idapt
  Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding (RSS 2021)
  ☆12Updated 4 years ago
• rll-research / finetune-vs-metarl
  ☆14Updated 3 years ago
• rmrafailov / VMAIL
  ☆24Updated 3 years ago
• si0wang / COPlanner
  ☆23Updated last year
• fusion-ml / trajectory-information-rl
  Bayesian active RL (BARL) and trajectory information planning (TIP)
  ☆24Updated 3 years ago
• keynans / HypeRL
  Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)
  ☆26Updated 4 years ago