Kyziridis / BipedalWalker-v2Links
Solving openAI's game 'BipedalWalker-v2' with Deep Reinforcement Learning
☆26Updated 5 years ago
Alternatives and similar repositories for BipedalWalker-v2
Users that are interested in BipedalWalker-v2 are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆94Updated last year
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated last month
- Deep Reinforcement Learning for Continuous Control in PyTorch☆104Updated 3 years ago
- A curated list of awesome Model-based reinforcement learning resources☆93Updated 5 years ago
- Deep Reinforcement Learning Framework done with PyTorch☆37Updated 6 months ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆151Updated 4 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆146Updated 3 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆52Updated 4 months ago
- PyTorch IMPALA implementation☆28Updated 6 years ago
- Pytorch implementation of "Maximum a Posteriori Policy Optimization" with Retrace for Discrete gym environments☆27Updated 5 years ago
- Unofficial re-implementation of "Learning Latent Dynamics for Planning from Pixels" (https://arxiv.org/abs/1811.04551 ) with PyTorch☆47Updated 5 years ago
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆76Updated 2 years ago
- My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments☆117Updated 2 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆193Updated 2 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆89Updated 2 years ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆42Updated 3 years ago
- Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…☆108Updated 3 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆97Updated 5 years ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆89Updated last year
- Experiments with reinforcement learning and recurrent neural networks☆115Updated last year
- Reinforcement learning algorithms with Generalized Advantage Estimation☆21Updated 7 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆105Updated 4 years ago
- Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines fro…☆154Updated 3 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 6 years ago
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 5 years ago
- Model-based Policy Gradients☆32Updated 5 years ago
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆45Updated 2 years ago
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 years ago
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆75Updated last year