Guillaume-Cr / lunar_lander_per
☆14Updated 4 years ago
Related projects: ⓘ
- A collection of pre-trained RL agents using Stable Baselines3☆102Updated last year
- Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.☆85Updated last year
- TF2 Implementation of the Soft Actor-Critic Algorithm☆44Updated last year
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆119Updated 3 years ago
- POMDP wrappers for OpenAI Gym☆15Updated 4 years ago
- ☆39Updated 4 years ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆64Updated last month
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆71Updated 3 years ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆201Updated last year
- My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.☆35Updated last year
- Level-based Foraging (LBF): A multi-agent environment for RL☆152Updated this week
- Lightweight multi-agent gridworld Gym environment☆193Updated 11 months ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆77Updated last year
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 3 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆92Updated 2 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆135Updated 2 years ago
- Baseline implementation of recurrent PPO using truncated BPTT☆118Updated 4 months ago
- Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.☆48Updated last year
- Emergence of complex strategies through multiagent competition☆40Updated last year
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆63Updated 5 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆92Updated 4 years ago
- Proximal Policy Optimization (Continuous Version) in PyTorch.☆24Updated 2 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated last month
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆265Updated 3 years ago
- Simple bit flipping with sparse rewards using HER, similarly to the original paper☆38Updated 5 years ago
- Gridworld for MARL experiments☆137Updated 3 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆128Updated 5 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆48Updated 3 years ago
- Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis☆28Updated 5 years ago
- ☆13Updated last year
- Minimal implementation of multi-agent reinforcement learning algorithms☆48Updated 3 years ago