dosssman / GymTorcs
A Gym wrapper for the Torcs Racing car simulator
☆32Updated 3 years ago
Alternatives and similar repositories for GymTorcs
Users that are interested in GymTorcs are comparing it to the libraries listed below
Sorting:
- An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.☆82Updated 3 years ago
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆45Updated last year
- A curated list of awesome Model-based reinforcement learning resources☆93Updated 4 years ago
- Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing☆82Updated 2 years ago
- Distributional Soft Actor Critic☆53Updated 4 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆44Updated 3 years ago
- Gym-like extensions for POMDP☆57Updated 4 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- Benchmarking RL generalization in an interpretable way.☆156Updated 2 months ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆68Updated last year
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆33Updated 2 years ago
- Pytorch version of Dreamer, which follows the original TF v2 codes.☆125Updated 3 years ago
- Gym environments and agents for autonomous driving.☆96Updated last year
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆167Updated 3 years ago
- JAX and PZ RL envs + algorithms for swarms of CrazyFlies☆76Updated 8 months ago
- Unofficial re-implementation of "Learning Latent Dynamics for Planning from Pixels" (https://arxiv.org/abs/1811.04551 ) with PyTorch☆47Updated 4 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆143Updated last year
- Code for MOPO: Model-based Offline Policy Optimization☆178Updated 2 years ago
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆57Updated last year
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated 9 months ago
- Partially Observable Process Gym☆189Updated 10 months ago
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆73Updated 11 months ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆85Updated last year
- Simple Grid Environment for Gymnasium☆57Updated 3 months ago
- Simple maze environments using mujoco-py☆54Updated last year
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆147Updated 3 years ago
- behavior cloning from observation☆34Updated 4 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆189Updated 2 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 3 years ago
- Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/☆96Updated 4 years ago