hermesdt / reinforcement-learning
☆39Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for reinforcement-learning
- Gridworld for MARL experiments☆137Updated 3 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆192Updated 2 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆134Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆133Updated 5 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆157Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆157Updated 2 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆120Updated 3 years ago
- Lightweight multi-agent gridworld Gym environment☆198Updated last year
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆106Updated 9 months ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆93Updated 2 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆117Updated 3 months ago
- Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/☆90Updated 3 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆163Updated 2 years ago
- ☆118Updated 3 months ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated 3 months ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆161Updated 3 months ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆50Updated 3 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆296Updated 3 years ago
- ☆190Updated last year
- Prioritized Experience Replay implementation with proportional prioritization☆69Updated last year
- Combining Evolutionary Algorithms and deep RL in various ways☆99Updated 4 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆152Updated last week
- Multi-Agent Deep Reinforcement Learning by using Asynchronous & Impala Proximal Policy Optimization in Pytorch with some explanation☆32Updated 4 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆161Updated 2 months ago
- Adaptive Attention Span for Reinforcement Learning☆132Updated 4 years ago
- A collection of pre-trained RL agents using Stable Baselines3☆105Updated 2 weeks ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆43Updated last year
- Baseline implementation of recurrent PPO using truncated BPTT☆125Updated 6 months ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆114Updated 2 weeks ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆89Updated 2 months ago