Browsing by Subject "reinforcement learning"
Now showing items 1-5 of 5
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COMPUTATIONAL MODELING OF PREFRONTAL-HIPPOCAMPAL INTERACTIONS IN VERBAL MNEMONIC DISCRIMINATION
(2023-11-30)Background: Mnemonic Discrimination, the ability to distinguish between highly similar memories is impaired in people with various neuropsychiatric disorders. While hippocampus and prefrontal cortex are attributed to perform ... -
EVALUATING SIMPLE REACTIVE AGENTS IN VISUAL REINFORCEMENT LEARNING TASKS
(2023-08-25)Visual formulations of reinforcement learning tasks are potentially challenging because (1) the state space is large and composed from pixels (so unlikely to be directly correlated with actions), (2) the underlying task ... -
Providing Real-Valued Actions for Tangled Program Graphs Under the CartPole Benchmark
(2020-08-20)The Tangled Program Graph framework (TPG) is a genetic programming approach to reinforcement learning. Canonical TPG is limited to performing discrete actions. This thesis investigates mechanisms by which TPG might perform ... -
QTRB: TEAM-BASED REGION BUILDING USING Q-LEARNING TO DERIVE POLICY ON PROGRAMS PARAMETERIZED BY LOCAL REWARD SIGNAL
(2023-04-24)While attempting to solve 2-dimensional grid world maze tasks, it was observed that genetic programming is limited by its random initialization and no use of local reward. This thesis proposes a hybrid algorithm called ... -
Scaling Genetic Programming to Challenging Reinforcement Tasks through Emergent Modularity
(2018-06-21)Algorithms that learn through environmental interaction and delayed rewards, or reinforcement learning, increasingly face the challenge of scaling to dynamic, high-dimensional environments. Video games model these types ...