Alternatives and similar repositories for Exploring-Munchausen-Reinforcement-Learning:

Users that are interested in Exploring-Munchausen-Reinforcement-Learning are comparing it to the libraries listed below

• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆36Updated 2 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆38Updated 2 months ago
• dhananjaisharma10 / Model-based-Reinforcement-Learning
  Model-based reinforcement learning using CEM, MPC and PETS
  ☆16Updated 5 years ago
• dnishio / DSAC
  The implementation of Discriminator Soft Actor Critic
  ☆14Updated 4 years ago
• uncharted-technologies / risk-and-uncertainty
  Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"
  ☆30Updated 2 years ago
• pairlab / d2rl
  Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"
  ☆38Updated 3 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 5 years ago
• polixir / causal-mbrl
  Toolkit of Causal Model-based Reinforcement Learning.
  ☆33Updated last year
• aravindsrinivas / neural-mpc
  ☆68Updated 4 years ago
• markub3327 / rl-toolkit
  RL-Toolkit: A Research Framework for Robotics
  ☆19Updated last week
• resibots / kaushik_2018_multi-dex
  Source code for "Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards" (CoRL 2018)
  ☆13Updated 6 years ago
• yuchen-x / MacroMARL
  ☆21Updated 9 months ago
• Yusufma03 / DPFRL
  Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations (ICLR 2020)
  ☆25Updated 3 years ago
• snu-mllab / EMI
  Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.
  ☆36Updated 4 years ago
• tmoer / a0c
  Code for the paper Alpha Zero in Continuous Action Space (A0C) (https://arxiv.org/pdf/1805.09613.pdf)
  ☆14Updated 4 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 4 years ago
• NotAnyMike / HRL
  Hierarchical Reinforcement Learning (batteries included)
  ☆43Updated 5 years ago
• avisingh599 / cog
  [CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
  ☆32Updated 4 years ago
• two2tee / WorldModelPlanning
  ☆16Updated 3 years ago
• zuoxingdong / DeepPILCO
  ☆53Updated 6 years ago
• newera-001 / motor-system
  A project copied from google-research which named motion-imitation was rewrited with PyTorch
  ☆7Updated 2 years ago
• sahandrez / homomorphic_policy_gradient
  Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024
  ☆22Updated 9 months ago
• KyunghyunLee / aes-rl
  ☆17Updated 4 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 2 years ago
• zchuning / latco
  Model-Based Reinforcement Learning via Latent-Space Collocation.
  ☆32Updated last year
• uidilr / deepirl_chainer
  Implementation of GAIL and AIRL using chinerrl
  ☆17Updated 2 years ago
• HumanCompatibleAI / population-irl
  (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards
  ☆26Updated 5 years ago
• omron-sinicx / action-constrained-RL-benchmark
  ☆21Updated 8 months ago
• oist-cnru / Variational-Recurrent-Models
  Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…
  ☆51Updated 4 years ago
• zhihanyang2022 / drqn
  Exploring whether DRQN + action prior + state-based expert + history-based entropy-reduction expert
  ☆8Updated 3 years ago