novicasarenac / car-racing-rl
Reinforcement learning algorithms A2C, A3C and DQN
☆15Updated last year
Related projects ⓘ
Alternatives and complementary repositories for car-racing-rl
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆58Updated last month
- Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)☆108Updated last year
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆63Updated 5 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆150Updated 2 weeks ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆145Updated 6 months ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆119Updated 3 years ago
- The aim of this repo is to bring ideas and relevant literature relating to Safe-RL in the context of autonomous vehicles.☆47Updated 6 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆62Updated last year
- The implementation of LSTM-TD3.☆62Updated last year
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆40Updated 4 years ago
- An implementation of deep reinforcement learning TD3 algorithm with prioritized experience replay (PER) buffer☆23Updated 5 years ago
- 2D Gridworld navigation using RL with Hindsight Experience Replay☆43Updated 5 years ago
- Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.☆87Updated last year
- ☆30Updated 3 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆45Updated 4 years ago
- Heterogeneous Multi-Robot Reinforcement Learning☆34Updated 2 months ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆109Updated 6 months ago
- DSAC; Distributional Soft Actor-Critic☆113Updated 8 months ago
- [RA-L & ICRA 2021] Adversarial Inverse Reinforcement Learning with Self-attention Dynamics Model☆31Updated 2 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆35Updated 5 years ago
- PyTorch implementation of Constrained Policy Optimization☆48Updated 3 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆92Updated 3 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆132Updated 3 months ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆51Updated last year
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆114Updated this week
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆53Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆98Updated 4 years ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆50Updated 3 years ago
- Solution for Taxi env using HRL (Hierarchical reinforcement learning) (2018)☆19Updated 5 years ago
- ☆59Updated last year