Alternatives and similar repositories for multi_car_racing

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

• d3sm0 / gym_pomdp
  Gym-like extensions for POMDP
  ☆57Updated 4 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
• hejia-zhang / awesome-model-based-reinforcement-learning
  A curated list of awesome Model-based reinforcement learning resources
  ☆93Updated 5 years ago
• liuzuxin / safe-mbrl
  Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method
  ☆66Updated 2 years ago
• proroklab / popgym
  Partially Observable Process Gym
  ☆199Updated 3 months ago
• twni2016 / f-IRL
  Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020
  ☆45Updated 2 years ago
• ffelten / CrazyRL
  JAX and PZ RL envs + algorithms for swarms of CrazyFlies
  ☆80Updated last year
• bark-simulator / bark-ml
  Gym environments and agents for autonomous driving.
  ☆102Updated last year
• dosssman / GymTorcs
  A Gym wrapper for the Torcs Racing car simulator
  ☆34Updated 3 years ago
• Neo-X / SMiRL_Code
  ☆18Updated 2 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆40Updated 3 years ago
• natolambert / dynamicslearn
  Working directory for dynamics learning for experimental robots.
  ☆57Updated 4 years ago
• xtma / dsac
  Distributional Soft Actor Critic
  ☆58Updated 5 years ago
• kandouss / marlgrid
  Gridworld for MARL experiments
  ☆141Updated 4 years ago
• h2r / pomdp-py
  A framework to build and solve POMDP problems. Documentation: https://h2r.github.io/pomdp-py/
  ☆257Updated 5 months ago
• SvenGronauer / Bullet-Safety-Gym
  An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.
  ☆70Updated 2 years ago
• yardenas / la-mbda
  LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization
  ☆35Updated 2 years ago
• quanvuong / handful-of-trials-pytorch
  Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
  ☆191Updated 2 years ago
• gwthomas / Safe-MBPO
  Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"
  ☆46Updated 3 years ago
• moratodpg / imp_marl
  IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
  ☆43Updated last week
• schatty / oprl
  A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing
  ☆134Updated 3 weeks ago
• MarcoMeter / episodic-transformer-memory-ppo
  Clean baseline implementation of PPO using an episodic TransformerXL memory
  ☆187Updated last year
• danielwillemsen / MAMBPO
  DecentralizedLearning
  ☆25Updated 2 years ago
• MarcoMeter / recurrent-ppo-truncated-bptt
  Baseline implementation of recurrent PPO using truncated BPTT
  ☆151Updated last year
• dkkim93 / meta-mapg
  Source code for "A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning" (ICML 2021)
  ☆33Updated 2 years ago
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆56Updated 2 years ago
• CherryPieSexy / imitation_learning
  PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
  ☆146Updated 3 years ago
• yusukeurakami / dreamer-pytorch
  pytorch-implementation of Dreamer (Model-based Image RL Algorithm)
  ☆166Updated 8 months ago
• abalakrishna123 / recovery-rl
  Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.
  ☆59Updated 2 years ago
• alversafa / option-critic-arch
  Implementation of the Option-Critic Architecture
  ☆40Updated 6 years ago