AadityaRavindran / gym-cartpolemod
Modified CartPole-v0 OpenAI Gym environment with various noisy cases and Reinforcement Learning based controller
☆9Updated 7 years ago
Alternatives and similar repositories for gym-cartpolemod:
Users that are interested in gym-cartpolemod are comparing it to the libraries listed below
- A modified version of the cart-pole OpenAI Gym environment for testing different control policies☆13Updated 7 months ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆50Updated 3 years ago
- Official implementation of the algorithmic approach presented in the research paper entitled "Risk-Sensitive Policy with Distributional R…☆15Updated 2 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 4 years ago
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆45Updated 4 years ago
- Safe Reinforcement Learning algorithms☆73Updated 2 years ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆20Updated 3 years ago
- Prioritized Sequence Experience Replay☆10Updated 3 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆44Updated 4 years ago
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51☆23Updated 5 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 5 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆27Updated 5 years ago
- Implementation of VALOR (Variational Option Discovery Algorithms)☆10Updated 5 years ago
- Deep Reinforcement Learning Framework done with PyTorch☆33Updated this week
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 5 years ago
- A library of probabilistic model based RL algorithms in pytorch☆108Updated 3 years ago
- Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"☆38Updated 4 years ago
- A repository for code of reinforcement learning algorithms with PyTorch☆30Updated 3 years ago
- Implementation of the Prioritized Option-Critic on the Four-Rooms Environment☆16Updated 7 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆40Updated 2 years ago
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆38Updated 3 years ago
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 4 years ago
- ☆82Updated 3 years ago
- NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.☆24Updated 9 months ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆64Updated last year
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 6 years ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆52Updated 4 years ago
- Deep RL agents with PyTorch☆35Updated 3 years ago