ronsailer / A2OC_A2CLinks
PyTorch implementation of Advantage Actor-Critic (A2C), Asynchronous Advantage Option-Critic (A2OC), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).
☆8Updated 6 years ago
Alternatives and similar repositories for A2OC_A2C
Users that are interested in A2OC_A2C are comparing it to the libraries listed below
Sorting:
- AGAC: Adversarially Guided Actor-Critic☆49Updated 3 years ago
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆22Updated 5 years ago
- ☆53Updated last year
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 4 years ago
- Deep RL agents with PyTorch☆35Updated 3 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 6 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆47Updated 4 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 2 months ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆26Updated last year
- Pytorch implementation of [Feudal Net](https://arxiv.org/abs/1703.01161). ([Tensorflow version](https://github.com/dmakian/feudal_networ…☆16Updated 5 years ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆27Updated 3 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 5 years ago
- Implementation of VALOR (Variational Option Discovery Algorithms)☆10Updated 5 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago
- PyTorch IMPALA implementation☆26Updated 5 years ago
- ☆26Updated 2 years ago
- ☆31Updated 5 years ago
- Single Episode Policy Transfer in Reinforcement Learning☆17Updated 2 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 4 years ago
- Prioritized Sequence Experience Replay☆10Updated 3 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…☆44Updated 4 years ago
- ☆61Updated 6 years ago
- Deep Learning Project☆22Updated 5 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 4 years ago
- Implementation of the Prioritized Option-Critic on the Four-Rooms Environment☆16Updated 7 years ago
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 6 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 8 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆70Updated last year